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Queens University
1.
Taylor, David.
A Study on the Charging of Electric Vehicles On a Prototypical Residential Feeder
.
Degree: Physics, Engineering Physics and Astronomy, 2014, Queens University
URL: http://hdl.handle.net/1974/8608 
► Due to recent concerns regarding energy conservation and dependence on fossil fuels, the efficient integration of electric vehicle populations’ in the future smart grid has…
(more)
▼ Due to recent concerns regarding energy conservation and dependence on fossil fuels, the efficient integration of electric vehicle populations’ in the future smart grid has become a significant area of research. Despite the heavy penetration of smart meters throughout North America and Europe a lack of research exists utilizing real consumption data.
Making use of smart meter data, a model of a prototypical residential feeder was created to observe the effects of increased electric vehicle penetration on the selected feeder. Simulations of the current operation of the feeder were performed along with modeled uncoordinated, coordinated, and coordinated vehicle to grid charging of electric vehicles.
As expected, it was found that the normal operation of the feeder is subject to several inefficiencies which are made worse by uncoordinated charging of electric vehicles. Significant improvements in the considered operational parameters were found as a result of the coordinated charging of vehicles using a quadratic programming based control algorithm. Further it was found, that the use of coordinated vehicle to grid connections only produces marginal benefits over standard connections. Leading to the conclusion that development of charging controls is more significant to the mitigation of electric vehicle charging effects than the integration of vehicle to grid connections.
Subjects/Keywords: Smart Grid
;
Electric Vehicle Charging
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APA (6th Edition):
Taylor, D. (2014). A Study on the Charging of Electric Vehicles On a Prototypical Residential Feeder
. (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/8608
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Taylor, David. “A Study on the Charging of Electric Vehicles On a Prototypical Residential Feeder
.” 2014. Thesis, Queens University. Accessed March 06, 2021.
http://hdl.handle.net/1974/8608.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Taylor, David. “A Study on the Charging of Electric Vehicles On a Prototypical Residential Feeder
.” 2014. Web. 06 Mar 2021.
Vancouver:
Taylor D. A Study on the Charging of Electric Vehicles On a Prototypical Residential Feeder
. [Internet] [Thesis]. Queens University; 2014. [cited 2021 Mar 06].
Available from: http://hdl.handle.net/1974/8608.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Taylor D. A Study on the Charging of Electric Vehicles On a Prototypical Residential Feeder
. [Thesis]. Queens University; 2014. Available from: http://hdl.handle.net/1974/8608
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Tampere University
2.
Alam, Shaiful.
Market based intelligent charging system for electric vehicles
.
Degree: 2019, Tampere University
URL: https://trepo.tuni.fi/handle/10024/117869
► The existing electrical infrastructure is very unlikely to expand overnight. Therefore, a smart solution is certainly needed to integrate the additional load which electric vehicles…
(more)
▼ The existing electrical infrastructure is very unlikely to expand overnight. Therefore, a smart solution is certainly needed to integrate the additional load which electric vehicles (EV) bring to the network. The aim of the thesis is to study the electricity market, different intelligences related to electric vehicle charging and establish an algorithm that produces an optimized charging schedule for electric vehicles. The algorithm ensures a cost profit for user and takes part in demand response by shifting the timing of charging loads based on energy prices.
The core intelligences integrated to the EV charging system in the thesis are cost optimization, peak shaving and load shifting. The algorithm follows the hourly unit cost related to the energy consumption and distribution fee in order to find the cheapest time slot for charging operation. It allocates as high charging power as possible to the cheapest time slots and then start selecting the expensive time slots until the battery is charged to desired state of charge. Along this process, the algorithm continuously calculates the maximum charging power available after other house-hold usage. The Elspot area price of Finland for 2018 added with 0.3 cents/kWh margin and 24% VAT are used as energy prices. Distribution unit prices include time-of-use pricing for day and nighttime energy use in addition to the fixed fuse-based fee. By following these unit prices, the algorithm shifts the load from high demand to low demand hours in order to minimize the total costs.
The algorithm is implemented in MATLAB and tested through a case study on different type of Finnish detached houses. Detached houses with different load profile data are used as input for charging a 75 kWh EV with a 10 kW and 7.5 kW charger in different cases, where the other inputs remain same for all the test cases. The Elspot area price of Finland for 2018 added with 0.3 cents/kWh margin and 24% VAT are used as energy prices. Different day and night-time distribution prices are applied depending on the consumption. The simulation results are compared to regular EV charging, where the charging operation starts right after the EV is plugged in and finishes charging within shortest time.
The results from the simulation are investigated from user’s and grid’s point of view. From user’s perspective, all the charging events with intelligent charging have costs savings over regular charging. The monetary profit is higher for higher charger rating (10 kW). In cases where the household usage is low, the proportional profit is high. From grid point of view, over 99% of the load gets shifted to night-time for 10 kW charger cases. For the 7.5kW charger, the amount of shifted load is over 97%, which is a little lower than 10 kW charger cases because of longer charging time. The findings of the case study validate the use of smart charging algorithm in order to ensure cost savings for the user.
Subjects/Keywords: Market based EV charging;
Intelligent charging;
smart charging;
Charging of electric vehicle
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APA (6th Edition):
Alam, S. (2019). Market based intelligent charging system for electric vehicles
. (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/117869
Chicago Manual of Style (16th Edition):
Alam, Shaiful. “Market based intelligent charging system for electric vehicles
.” 2019. Masters Thesis, Tampere University. Accessed March 06, 2021.
https://trepo.tuni.fi/handle/10024/117869.
MLA Handbook (7th Edition):
Alam, Shaiful. “Market based intelligent charging system for electric vehicles
.” 2019. Web. 06 Mar 2021.
Vancouver:
Alam S. Market based intelligent charging system for electric vehicles
. [Internet] [Masters thesis]. Tampere University; 2019. [cited 2021 Mar 06].
Available from: https://trepo.tuni.fi/handle/10024/117869.
Council of Science Editors:
Alam S. Market based intelligent charging system for electric vehicles
. [Masters Thesis]. Tampere University; 2019. Available from: https://trepo.tuni.fi/handle/10024/117869
Delft University of Technology
3.
Shiddiq Sumitro, Muhammad (author).
Optimal Power Management System of EVs Charging from PV System in a Low Voltage Distribution Network: An integration between EVs, PV system and grid.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:13e18988-9b50-4cc8-bf8e-392455acfb44
► An increase in carbon emission which mostly caused by the transportation sector and electric power generation has been a hot topic nowadays in most countries…
(more)
▼ An increase in carbon emission which mostly caused by the transportation sector and electric power generation has been a hot topic nowadays in most countries in the world. To tackle this problem, the share of renewable energy use has been increased by up to 14% in the Netherlands. Moreover, the number of electric vehicles (EVs) on the road also reaches a total of 120,000 EVs in 2018. However, the high penetration of renewable energy sources (RESs) such as solar & wind power and the EVs charging in the distribution network could result in a severe problem. One of the solutions to avoid this problem is that switching the uncontrolled charging of EVs into a controlled charging or called as smart charging. Further, an integration between the EVs, RESs and the distribution grid could potentially lead to technical and economic benefits. The focus of this thesis is to develop an optimal power management system (PMS) between the EVs, PV system, and the distribution network. The goal of the power management system is to obtain the minimum operational cost while also considering the technical grid constraints, which subsequently could avoid the grid violation. The proposed power management system will be modeled in a mixed integer non-linear programming (MINLP) optimization problem and executed in General Algebraic Modelling System (GAMS) software. To evaluate the performance of the proposed power management system, a comparison between the with-grid and the no-grid constraints case will be performed through several case studies. This study shows that by implementing the proposed power management system of EVs charging from PV system considering the grid constraints, it could decrease the total operational cost remarkably by 18.16% - 214.08% when compared to the uncontrolled charging scheme. Besides, the grid problem caused by the uncontrolled charging process such as exceeding the allowable voltage deviation and the transformer rated power could be prevented. However, in comparison to the smart charging without considering the grid constraints, the operational cost is increased by 1.43% - 113.20%.
Sustainable Energy Technology
Advisors/Committee Members: Bauer, Pavol (mentor), Chandra Mouli, Gautham Ram (mentor), Izadkhast, Seyedmahdi (mentor), Smets, Arno (graduation committee), Ramirez Elizondo, Laura (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Smart charging; Electric Vehicles; Optimization; PV systems
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APA (6th Edition):
Shiddiq Sumitro, M. (. (2018). Optimal Power Management System of EVs Charging from PV System in a Low Voltage Distribution Network: An integration between EVs, PV system and grid. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:13e18988-9b50-4cc8-bf8e-392455acfb44
Chicago Manual of Style (16th Edition):
Shiddiq Sumitro, Muhammad (author). “Optimal Power Management System of EVs Charging from PV System in a Low Voltage Distribution Network: An integration between EVs, PV system and grid.” 2018. Masters Thesis, Delft University of Technology. Accessed March 06, 2021.
http://resolver.tudelft.nl/uuid:13e18988-9b50-4cc8-bf8e-392455acfb44.
MLA Handbook (7th Edition):
Shiddiq Sumitro, Muhammad (author). “Optimal Power Management System of EVs Charging from PV System in a Low Voltage Distribution Network: An integration between EVs, PV system and grid.” 2018. Web. 06 Mar 2021.
Vancouver:
Shiddiq Sumitro M(. Optimal Power Management System of EVs Charging from PV System in a Low Voltage Distribution Network: An integration between EVs, PV system and grid. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 06].
Available from: http://resolver.tudelft.nl/uuid:13e18988-9b50-4cc8-bf8e-392455acfb44.
Council of Science Editors:
Shiddiq Sumitro M(. Optimal Power Management System of EVs Charging from PV System in a Low Voltage Distribution Network: An integration between EVs, PV system and grid. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:13e18988-9b50-4cc8-bf8e-392455acfb44
Delft University of Technology
4.
Broere, Lennart (author).
Optimisation of smart-and Vehicle-to-Grid charging strategies in distribution networks: based on charging behaviour analysis.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:74dfef2c-bbd8-4e0d-a18c-45c514e805ce
► Currently in the energy system of the Netherlands, lower level consumer demand flexibility is rather obsolete due to sufficient capacity limits of the distribution network…
(more)
▼ Currently in the energy system of the Netherlands, lower level consumer demand flexibility is rather obsolete due to sufficient capacity limits of the distribution network and supply of capacity mechanisms by large industrial actors. However, in the upcoming 10- 20 years, the power system is in transition to become decentralised with a higher share of renewable energy sources and significant increase in consumption. An operational control structure in the power system, where private consumers provide flexible capacity, is an effective and economical efficient approach to make sure the regulated process of electricity generation to supply at consumers is secure and reliable. Currently as a result of the EU Energy Efficiency Directive of 2012, an institutional base is presented for development initiatives of demand response in Europe [17]. Technical and regulatory standards now enable demand response flexibility to be offered on the wholesale and retail energy market and allow for consumer participation [34]. Demand response schemes are usually distinguished by the various motivation methods offered to the participating consumers. Programs include in general two control methods, centralised direct load control or time-based and incentive-based DR. Because these schemes rely on demand response decision-making by means of a centralised (multi) aggregator perspective, direct load control can be precisely adjusted to technical (local) grid constraints [69]. Practically, the objective of DR in this research is used to reduce congestion in distribution grids by moving part of BEV energy demand from (evening) peaks to the afternoon or night with direct control. By achieving these measures potential benefits arise, including the most profound in the distribution grid [29]: • Optimising local grid assets by increasing the utilisation factor, and thereby maximise asset efficiency and subsequently decrease costs, which is beneficial for the DSO • Scheduling of peak
charging demand to aid congestion in distribution grids. The modelling of the demand response
charging strategies in Amsterdam fills the knowledge gap towards handling congestion for the DSO. It also provides a new study that addresses the potential to postpone future distribution grid investments by using
charging strategies specifically for Amsterdam. The main research question that this study addresses is therefore: What is the value of demand response management in a Vehicle-to-Grid network and does it provide increased benefits to
smart charging for consumers and the distribution system operator in Amsterdam? In order to grasp the
subject of congestion prevention within the time limits of graduation, the scope of this study is limited to assess the first mentioned item by modelling
charging demand, and subsequently simulate optimal demand response
charging strategies for a case study in Amsterdam’s local power grid. The motivation for this study is threefold. Firstly, providing insight and recommendations in Amsterdam’s BEV…
Advisors/Committee Members: Hakvoort, Rudi (mentor), Kroesen, Maarten (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Smart charging; Vehicle-to-Grid; Demand Response
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APA (6th Edition):
Broere, L. (. (2018). Optimisation of smart-and Vehicle-to-Grid charging strategies in distribution networks: based on charging behaviour analysis. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:74dfef2c-bbd8-4e0d-a18c-45c514e805ce
Chicago Manual of Style (16th Edition):
Broere, Lennart (author). “Optimisation of smart-and Vehicle-to-Grid charging strategies in distribution networks: based on charging behaviour analysis.” 2018. Masters Thesis, Delft University of Technology. Accessed March 06, 2021.
http://resolver.tudelft.nl/uuid:74dfef2c-bbd8-4e0d-a18c-45c514e805ce.
MLA Handbook (7th Edition):
Broere, Lennart (author). “Optimisation of smart-and Vehicle-to-Grid charging strategies in distribution networks: based on charging behaviour analysis.” 2018. Web. 06 Mar 2021.
Vancouver:
Broere L(. Optimisation of smart-and Vehicle-to-Grid charging strategies in distribution networks: based on charging behaviour analysis. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 06].
Available from: http://resolver.tudelft.nl/uuid:74dfef2c-bbd8-4e0d-a18c-45c514e805ce.
Council of Science Editors:
Broere L(. Optimisation of smart-and Vehicle-to-Grid charging strategies in distribution networks: based on charging behaviour analysis. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:74dfef2c-bbd8-4e0d-a18c-45c514e805ce
Delft University of Technology
5.
Snow, Yitzi (author).
Smarter Charging: Modeling optimal EV charging in solar parking lots for reducing peak demand, considering uncertainty in solar power forecasting and EV energy demand.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:e14d3c49-423e-4fd4-b729-1341ea380714
► Smart charging offers the potential for electric vehicles to use renewable energy more efficiently, lowering costs and improving the stability of the electricity grid. Many…
(more)
▼ Smart charging offers the potential for electric vehicles to use renewable energy more efficiently, lowering costs and improving the stability of the electricity grid. Many computer models have been developed to simulate the behavior of
smart charging. Yet these models often assume that future information is known perfectly, including when vehicles will begin
charging and how much solar energy will be available at that time. In reality, this information is
subject to uncertainty, meaning the performance of
smart charging may be worse than predicted by these models. This report details the development of an improved model which considers future uncertainty in
smart charging behavior. It is determined that uncertainty does decrease the effectiveness of
smart charging, but with strategies that are able to robustly consider this uncertainty
smart charging can still offer tremendous benefits over traditional uncoordinated
charging.
Advisors/Committee Members: van Wijk, Ad (mentor), Ghotge, Rishabh (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Solar; Electric Vehicle; Smart charging; optimization; forecasting; modeling; Smart grid; Uncertain systems
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APA ·
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Manager
APA (6th Edition):
Snow, Y. (. (2019). Smarter Charging: Modeling optimal EV charging in solar parking lots for reducing peak demand, considering uncertainty in solar power forecasting and EV energy demand. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e14d3c49-423e-4fd4-b729-1341ea380714
Chicago Manual of Style (16th Edition):
Snow, Yitzi (author). “Smarter Charging: Modeling optimal EV charging in solar parking lots for reducing peak demand, considering uncertainty in solar power forecasting and EV energy demand.” 2019. Masters Thesis, Delft University of Technology. Accessed March 06, 2021.
http://resolver.tudelft.nl/uuid:e14d3c49-423e-4fd4-b729-1341ea380714.
MLA Handbook (7th Edition):
Snow, Yitzi (author). “Smarter Charging: Modeling optimal EV charging in solar parking lots for reducing peak demand, considering uncertainty in solar power forecasting and EV energy demand.” 2019. Web. 06 Mar 2021.
Vancouver:
Snow Y(. Smarter Charging: Modeling optimal EV charging in solar parking lots for reducing peak demand, considering uncertainty in solar power forecasting and EV energy demand. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 06].
Available from: http://resolver.tudelft.nl/uuid:e14d3c49-423e-4fd4-b729-1341ea380714.
Council of Science Editors:
Snow Y(. Smarter Charging: Modeling optimal EV charging in solar parking lots for reducing peak demand, considering uncertainty in solar power forecasting and EV energy demand. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:e14d3c49-423e-4fd4-b729-1341ea380714
UCLA
6.
Wang, Bin.
Smart EV Energy Management System to Support Grid Services.
Degree: Mechanical Engineering, 2016, UCLA
URL: http://www.escholarship.org/uc/item/3wc9z3dg
► Under smart grid scenarios, the advanced sensing and metering technologies have been applied to the legacy power grid to improve the system observability and the…
(more)
▼ Under smart grid scenarios, the advanced sensing and metering technologies have been applied to the legacy power grid to improve the system observability and the real-time situational awareness. Meanwhile, there is increasing amount of distributed energy resources (DERs), such as renewable generations, electric vehicles (EVs) and battery energy storage system (BESS), etc., being integrated into the power system. However, the integration of EVs, which can be modeled as controllable mobile energy devices, brings both challenges and opportunities to the grid planning and energy management, due to the intermittency of renewable generation, uncertainties of EV driver behaviors, etc. This dissertation aims to solve the real-time EV energy management problem in order to improve the overall grid efficiency, reliability and economics, using online and predictive optimization strategies. Most of the previous research on EV energy management strategies and algorithms are based on simplified models with unrealistic assumptions that the EV charging behaviors are perfectly known or following known distributions, such as the arriving time, leaving time and energy consumption values, etc. These approaches fail to obtain the optimal solutions in real-time because of the system uncertainties. Moreover, there is lack of data-driven strategy that performs online and predictive scheduling for EV charging behaviors under microgrid scenarios. Therefore, we develop an online predictive EV scheduling framework, considering uncertainties of renewable generation, building load and EV driver behaviors, etc., based on real-world data. A kernel-based estimator is developed to predict the charging session parameters in real-time with improved estimation accuracy. The efficacy of various optimization strategies that are supported by this framework, including valley-filling, cost reduction, event-based control, etc., has been demonstrated. In addition, the existing simulation-based approaches do not consider a variety of practical concerns of implementing such a smart EV energy management system, including the driver preferences, communication protocols, data models, and customized integration of existing standards to provide grid services. Therefore, this dissertation also solves these issues by designing and implementing a scalable system architecture to capture the user preferences, enable multi-layer communication and control, and finally improve the system reliability and interoperability.
Subjects/Keywords: Engineering; Energy; Electric Vehicle Charging; Predictive Control; Smart Grid; User Behaviors
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APA ·
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Manager
APA (6th Edition):
Wang, B. (2016). Smart EV Energy Management System to Support Grid Services. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3wc9z3dg
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wang, Bin. “Smart EV Energy Management System to Support Grid Services.” 2016. Thesis, UCLA. Accessed March 06, 2021.
http://www.escholarship.org/uc/item/3wc9z3dg.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wang, Bin. “Smart EV Energy Management System to Support Grid Services.” 2016. Web. 06 Mar 2021.
Vancouver:
Wang B. Smart EV Energy Management System to Support Grid Services. [Internet] [Thesis]. UCLA; 2016. [cited 2021 Mar 06].
Available from: http://www.escholarship.org/uc/item/3wc9z3dg.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wang B. Smart EV Energy Management System to Support Grid Services. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/3wc9z3dg
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Ottawa
7.
Aloqaily, Osama.
Charging and Discharging Algorithms for Electric Vehicles in Smart Grid Environment
.
Degree: 2016, University of Ottawa
URL: http://hdl.handle.net/10393/34562
► Power demands will increase day-by-day because of widely adopting of Plug-in Electric Vehicles (PEVs) in the world and growing population. Finding and managing additional power…
(more)
▼ Power demands will increase day-by-day because of widely adopting of Plug-in Electric Vehicles (PEVs) in the world and growing population. Finding and managing additional power resources for upcoming demands is a challenge. Renewable power is one of the alternatives. However, to manage and control renewable resources, we need suitable Energy Storage System (ESS). PEVs have a large battery pack that is used mainly to supply electric motor. Moreover, PEV battery could be used as an ESS to store power at a certain time and use it at another time. Nevertheless, it can play the same role with electric power grids, so it can store power at a time and return it at another time. This role might help the grid to meet the growing demands. In this thesis, we propose a charging and discharging coordination algorithm that effectively addresses the problem of power demand on peak time using the PEV’s batteries as a backup power storage, namely, Flexible Charging and Discharging (FCD) algorithm. The FCD algorithm aims to manage high power demands at peak times using Vehicle to Home (V2H) technologies in Smart Grid and PEV’s batteries. Intensive computer simulation is used to test FCD algorithm. The FCD algorithm shows a significant reduction in power demands and total cost, in proportion to two other algorithms, without affecting the performance of the PEV or the flexibility of PEV owner’s trip schedule.
Subjects/Keywords: Smart Grid;
Electric Vehicle;
Vehicle to Home;
Charging Algorithm
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APA ·
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APA (6th Edition):
Aloqaily, O. (2016). Charging and Discharging Algorithms for Electric Vehicles in Smart Grid Environment
. (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/34562
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Aloqaily, Osama. “Charging and Discharging Algorithms for Electric Vehicles in Smart Grid Environment
.” 2016. Thesis, University of Ottawa. Accessed March 06, 2021.
http://hdl.handle.net/10393/34562.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Aloqaily, Osama. “Charging and Discharging Algorithms for Electric Vehicles in Smart Grid Environment
.” 2016. Web. 06 Mar 2021.
Vancouver:
Aloqaily O. Charging and Discharging Algorithms for Electric Vehicles in Smart Grid Environment
. [Internet] [Thesis]. University of Ottawa; 2016. [cited 2021 Mar 06].
Available from: http://hdl.handle.net/10393/34562.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Aloqaily O. Charging and Discharging Algorithms for Electric Vehicles in Smart Grid Environment
. [Thesis]. University of Ottawa; 2016. Available from: http://hdl.handle.net/10393/34562
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Hong Kong University of Science and Technology
8.
Zhang, Ao ECE.
Coordinated charging of electric vehicles for ancillary services in smart grids.
Degree: 2018, Hong Kong University of Science and Technology
URL: http://repository.ust.hk/ir/Record/1783.1-102341
;
https://doi.org/10.14711/thesis-991012636967303412
;
http://repository.ust.hk/ir/bitstream/1783.1-102341/1/th_redirect.html
► With the increasing load from the integration of electric vehicles (EVs) and the increasing uncertain supply from renewable energy sources (RES), it becomes increasingly challenging…
(more)
▼ With the increasing load from the integration of electric vehicles (EVs) and the increasing uncertain supply from renewable energy sources (RES), it becomes increasingly challenging to maintain the reliability and stability of the power system, especially for its most vulnerable part, namely, the distribution network. Therefore, a larger amount of ancillary services are needed. Ancillary services are those services to balance the demand and supply so as to maintain the reliable operations of the power system. Leveraging the deferrable property and charging flexibilities of EVs, we propose to coordinate the charging power of EVs in the demand side to provide ancillary services. In doing so, the distribution system operator (DSO) can not only reduce energy costs and avoid overload of gird components, but also gain profits for providing ancillary services. In this thesis, we aim to minimize the net cost of the DSO by coordinating the charging of EVs to provide multiple ancillary services simultaneously in an optimal way. Specifically, in the first part of the thesis, we design a two-step strategy to provide frequency regulation and valley filling services jointly by coordinating the active charging power of EVs in distribution networks. Simulation results prove the feasibility and performance of the proposed strategy. In addition to controlling the active charging power of EVs, we can also utilize EVs to provide reactive power for voltage regulation, thanks to the recent advance of the EV charger technology. Thus in the second part of the thesis, we propose a joint voltage and frequency regulation strategy by coordinating both the active and reactive powers of EVs in distribution networks. The effectiveness and performance of the proposed strategy are demonstrated by numerical simulations as well.
Subjects/Keywords: Smart power grids
; Mathematical models
; Battery charging stations (Electric vehicles)
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APA (6th Edition):
Zhang, A. E. (2018). Coordinated charging of electric vehicles for ancillary services in smart grids. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-102341 ; https://doi.org/10.14711/thesis-991012636967303412 ; http://repository.ust.hk/ir/bitstream/1783.1-102341/1/th_redirect.html
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Zhang, Ao ECE. “Coordinated charging of electric vehicles for ancillary services in smart grids.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed March 06, 2021.
http://repository.ust.hk/ir/Record/1783.1-102341 ; https://doi.org/10.14711/thesis-991012636967303412 ; http://repository.ust.hk/ir/bitstream/1783.1-102341/1/th_redirect.html.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Zhang, Ao ECE. “Coordinated charging of electric vehicles for ancillary services in smart grids.” 2018. Web. 06 Mar 2021.
Vancouver:
Zhang AE. Coordinated charging of electric vehicles for ancillary services in smart grids. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2021 Mar 06].
Available from: http://repository.ust.hk/ir/Record/1783.1-102341 ; https://doi.org/10.14711/thesis-991012636967303412 ; http://repository.ust.hk/ir/bitstream/1783.1-102341/1/th_redirect.html.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Zhang AE. Coordinated charging of electric vehicles for ancillary services in smart grids. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-102341 ; https://doi.org/10.14711/thesis-991012636967303412 ; http://repository.ust.hk/ir/bitstream/1783.1-102341/1/th_redirect.html
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
9.
Hijgenaar, S. (author).
Electric Vehicles; The Driving Power for Energy Transition: Blockchain-based Decentralised Energy Trading.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:c4a8d2be-6c4e-4bfb-8a37-8a65bd7fe50b
► The widespread introduction of (hybrid) electric vehicles has caused dynamic, local energy demand peaks. While, decentral energy generation, often using sustainable methods, creates local over-supply.…
(more)
▼ The widespread introduction of (hybrid) electric vehicles has caused dynamic, local energy demand peaks. While, decentral energy generation, often using sustainable methods, creates local over-supply. Following the trends of the previous decade, the central balancing party (TenneT) will soon be no longer able to keep up. Blockchain offers an outcome by ruling out the third party and enabling direct sales from supply to demand. The technology offers a safe and transparent transaction platform. In collaboration with CGI Nederland a proof-of-concept is developed that proves the usefulness of the technology for a decentral, distributed, peer-to-peer energy trading system. In my thesis research I developed an algorithm that enables electricity trading between households and electric vehicles, benefiting both systems from an operator's perspective, as well as the individual system users.
Civil Engineering and Geosciences
Transport & Planning
Transport, Infrastructure & Logistics (TIL)
Advisors/Committee Members: Verbraeck, A. (mentor), Erkin, Z. (mentor), Keviczky, T. (mentor), Siemons, J. (mentor), Bisschops, R. (mentor).
Subjects/Keywords: Electric vehicles; EV; PHEV; BEV; power management; smart charging; blockchain
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APA (6th Edition):
Hijgenaar, S. (. (2017). Electric Vehicles; The Driving Power for Energy Transition: Blockchain-based Decentralised Energy Trading. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c4a8d2be-6c4e-4bfb-8a37-8a65bd7fe50b
Chicago Manual of Style (16th Edition):
Hijgenaar, S (author). “Electric Vehicles; The Driving Power for Energy Transition: Blockchain-based Decentralised Energy Trading.” 2017. Masters Thesis, Delft University of Technology. Accessed March 06, 2021.
http://resolver.tudelft.nl/uuid:c4a8d2be-6c4e-4bfb-8a37-8a65bd7fe50b.
MLA Handbook (7th Edition):
Hijgenaar, S (author). “Electric Vehicles; The Driving Power for Energy Transition: Blockchain-based Decentralised Energy Trading.” 2017. Web. 06 Mar 2021.
Vancouver:
Hijgenaar S(. Electric Vehicles; The Driving Power for Energy Transition: Blockchain-based Decentralised Energy Trading. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 06].
Available from: http://resolver.tudelft.nl/uuid:c4a8d2be-6c4e-4bfb-8a37-8a65bd7fe50b.
Council of Science Editors:
Hijgenaar S(. Electric Vehicles; The Driving Power for Energy Transition: Blockchain-based Decentralised Energy Trading. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:c4a8d2be-6c4e-4bfb-8a37-8a65bd7fe50b
Delft University of Technology
10.
Bakolas, B.V.E. (author).
Design of a Sustainable Electric Vehicle Charging Station.
Degree: 2012, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:437f3bf4-108c-41eb-97de-5270d6d3264b
► Electric vehicles only become useful in reducing greenhouse gas emissions, if the electricity used to charge their batteries comes from renewable energy sources. This thesis…
(more)
▼ Electric vehicles only become useful in reducing greenhouse gas emissions, if the electricity used to charge their batteries comes from renewable energy sources. This thesis was conducted within the electric mobility framework of the Green Village, the project put forward to test the Green Campus Concept. The objective was to design a Station that charges electric vehicles, using sustainable energy technologies. To achieve an optimal performance of the selected components, a particular layout architecture was suggested. Additionally, a computer model was developed to simulate the Station operation under variant energy generation and consumption inputs, as established by fitted meteorological data and predicted usage patterns. Simulations were run using the Station model and the corresponding results were analyzed. Finally the economic aspects of the project implementation were examined and conclusions were drawn regarding the commercialization of its conceptual attributes.
Sustainable Energy Technology
Fundamental Aspects of Materials & Energy
Applied Sciences
Subjects/Keywords: electric vehicles; charging station; renewables; simulation; smart power flow control
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APA (6th Edition):
Bakolas, B. V. E. (. (2012). Design of a Sustainable Electric Vehicle Charging Station. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:437f3bf4-108c-41eb-97de-5270d6d3264b
Chicago Manual of Style (16th Edition):
Bakolas, B V E (author). “Design of a Sustainable Electric Vehicle Charging Station.” 2012. Masters Thesis, Delft University of Technology. Accessed March 06, 2021.
http://resolver.tudelft.nl/uuid:437f3bf4-108c-41eb-97de-5270d6d3264b.
MLA Handbook (7th Edition):
Bakolas, B V E (author). “Design of a Sustainable Electric Vehicle Charging Station.” 2012. Web. 06 Mar 2021.
Vancouver:
Bakolas BVE(. Design of a Sustainable Electric Vehicle Charging Station. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2021 Mar 06].
Available from: http://resolver.tudelft.nl/uuid:437f3bf4-108c-41eb-97de-5270d6d3264b.
Council of Science Editors:
Bakolas BVE(. Design of a Sustainable Electric Vehicle Charging Station. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:437f3bf4-108c-41eb-97de-5270d6d3264b
Delft University of Technology
11.
Stegmann, Irma (author).
Flexibility trading for aggregators of electrical vehicles within the Universal Smart Energy Framework: A research on trading flexibility in a USEF compliant market at distribution level for aggregators of electrical vehicles.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:4105d2e5-1095-4ebb-a590-788fe1946555
► Increased use of the distribution grid due to the uptake of distributed energy resources and the expected penetrations of Electrical Vehicles (EVs) could lead to…
(more)
▼ Increased use of the distribution grid due to the uptake of distributed energy resources and the expected penetrations of Electrical Vehicles (EVs) could lead to congestion problems in the distribution grid. Congestion refers to issues related to the overheating of components or voltage issues in the distribution network. Avoiding these issues is crucial to maintain a stable, economical and reliable electricity grid. By using the flexibility of aggregated EVs large investments in grid reinforcement can be avoided. However, a holistic approach is necessary to manage the procurement of flexibility services for all stakeholders involved. One approach is the Universal Smart Energy Framework (USEF), a framework that integrates the existing electricity market with a market for flexibility services from the aggregator to the Distribution System Operator (DSO). This master thesis presents a study on the flexibility market as described by USEF from the perspective of a commercial aggregator of EVs. USEF presents a framework in which flexibility potentially provides financial opportunities for aggregators of EVs. However, it is not clear what the financial impact on the charging costs of an aggregator of EVs is and in what way an aggregator has to adapt its charging logic when trading with DSOs. Therefore, the aim of this thesis is to answer the following question: how can an aggregator of EVs offer flexibility services to a USEF compliant market at distribution level? This report presents an in-depth analysis on USEF, determines the impact of network constraints from USEF on the charging costs of an aggregator of EVs and improves the charging strategy under USEF constraints.
Sustainable Energy Technology
Advisors/Committee Members: Herder, Paulien (mentor), de Vries, Laurens (mentor), de Weerdt, Mathijs (mentor), Morales Espana, German (graduation committee), Van Aalzum, Erik (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Electrical Vehicles; EVs; Aggregator; Smart charging; distribution system operator; USEF; Jedlix
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APA (6th Edition):
Stegmann, I. (. (2017). Flexibility trading for aggregators of electrical vehicles within the Universal Smart Energy Framework: A research on trading flexibility in a USEF compliant market at distribution level for aggregators of electrical vehicles. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4105d2e5-1095-4ebb-a590-788fe1946555
Chicago Manual of Style (16th Edition):
Stegmann, Irma (author). “Flexibility trading for aggregators of electrical vehicles within the Universal Smart Energy Framework: A research on trading flexibility in a USEF compliant market at distribution level for aggregators of electrical vehicles.” 2017. Masters Thesis, Delft University of Technology. Accessed March 06, 2021.
http://resolver.tudelft.nl/uuid:4105d2e5-1095-4ebb-a590-788fe1946555.
MLA Handbook (7th Edition):
Stegmann, Irma (author). “Flexibility trading for aggregators of electrical vehicles within the Universal Smart Energy Framework: A research on trading flexibility in a USEF compliant market at distribution level for aggregators of electrical vehicles.” 2017. Web. 06 Mar 2021.
Vancouver:
Stegmann I(. Flexibility trading for aggregators of electrical vehicles within the Universal Smart Energy Framework: A research on trading flexibility in a USEF compliant market at distribution level for aggregators of electrical vehicles. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 06].
Available from: http://resolver.tudelft.nl/uuid:4105d2e5-1095-4ebb-a590-788fe1946555.
Council of Science Editors:
Stegmann I(. Flexibility trading for aggregators of electrical vehicles within the Universal Smart Energy Framework: A research on trading flexibility in a USEF compliant market at distribution level for aggregators of electrical vehicles. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:4105d2e5-1095-4ebb-a590-788fe1946555
University of Victoria
12.
Wei, Zhe.
Modeling and analysis on electric vehicle charging.
Degree: Department of Electrical and Computer Engineering, 2017, University of Victoria
URL: https://dspace.library.uvic.ca//handle/1828/8897
► The development of electric vehicle (EV) greatly promotes building a green and sustainable society. The new technology also brings new challenges. With the penetration of…
(more)
▼ The development of electric vehicle (EV) greatly promotes building a green and sustainable society. The new technology also brings new challenges. With the penetration of electric vehicles, the
charging demands are increasing, and how to efficiently coordinate EVs'
charging activities is a major challenge and sparks numerous research efforts. In this dissertation, we investigate the EV
charging scheduling problem under the public
charging and home
charging scenarios from different perspectives.
First, we investigate the EV
charging scheduling problem under a
charging station scenario by jointly considering the revenue of the
charging station and the service requirements of
charging customers. We first propose an admission control algorithm to guarantee the non-flexible
charging requirements of all admitted EVs being satisfied before their departure time. Then, a utility based
charging scheduling algorithm is proposed to maximize the profit for the
charging station. With the proposed
charging scheduling algorithm, a win-win situation is achieved where the
charging station enjoys a higher profit and the customer enjoys more cost savings.
Second, we investigate the EV
charging scheduling problem under a parking garage scenario, aiming to promote the total utility of the
charging operator
subject to the time-of-use pricing. By applying the analyzed battery
charging characteristic, an adaptive utility oriented scheduling algorithm is proposed to achieve a high profit and low task declining probability for the
charging operator. We also discuss a reservation mechanism for the
charging operator to mitigate the performance degradation caused by
charging information mismatching.
Third, we investigate the EV
charging scheduling problem of a park-and-charge system with the objective to minimize the EV battery degradation cost during the
charging process while satisfying the battery
charging characteristic. A vacant
charging resource allocation algorithm and a dynamic power adjustment algorithm are proposed to achieve the least battery degradation cost and alleviate the peak power load, which is beneficial for both the customers and
charging operator.
Fourth, we investigate the EV
charging scheduling problem under a residential community scenario. By jointly considering the
charging energy and battery
performance degradation during the
charging process, we propose a utility
maximization problem to optimize the gain of the community
charging network. A utility maximized
charging scheme is correspondingly proposed to achieve the utility optimality for the
charging network.
In summary, the research outcomes of the dissertation can contribute to the effective management of the EV
charging activities to meet increasing
charging demands.
Advisors/Committee Members: Cai, Lin (supervisor).
Subjects/Keywords: Electric vehicle; Scheduling; Battery degradation; Smart Grid; EV charging
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APA (6th Edition):
Wei, Z. (2017). Modeling and analysis on electric vehicle charging. (Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/8897
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wei, Zhe. “Modeling and analysis on electric vehicle charging.” 2017. Thesis, University of Victoria. Accessed March 06, 2021.
https://dspace.library.uvic.ca//handle/1828/8897.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wei, Zhe. “Modeling and analysis on electric vehicle charging.” 2017. Web. 06 Mar 2021.
Vancouver:
Wei Z. Modeling and analysis on electric vehicle charging. [Internet] [Thesis]. University of Victoria; 2017. [cited 2021 Mar 06].
Available from: https://dspace.library.uvic.ca//handle/1828/8897.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wei Z. Modeling and analysis on electric vehicle charging. [Thesis]. University of Victoria; 2017. Available from: https://dspace.library.uvic.ca//handle/1828/8897
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Waikato
13.
Monigatti, Paul William.
Smart charging strategies for Electric Vehicles utilising non-dispatchable renewable electricity generation
.
Degree: 2017, University of Waikato
URL: http://hdl.handle.net/10289/11441
► Access to an inexpensive and reliable supply of energy is critical for the success of modern civilisation. Since the beginning of the Industrial Revolution in…
(more)
▼ Access to an inexpensive and reliable supply of energy is critical for the success of modern civilisation. Since the beginning of the Industrial Revolution in the mid 18th century, fossil fuels have enabled great advances across many aspects of society, which have increased the standard of living for many. Unfortunately, dwindling supplies and greenhouse gas emissions resulting from their use means that the continued utilisation of these fuels - particularly for electricity generation and transportation - is simply not sustainable.
Present-day electricity systems are built around the premise that generation is flexible and controllable, while load - generally speaking - is not. This leads to dispatch models where generation is scheduled to meet load, plus some additional capacity to accommodate forecast errors and potential equipment failure. Many renewable generation technologies, such as wind and solar photovoltaics, are non-dispatchable and cannot be scheduled to produce electricity on-demand. Successfully utilising these energy sources therefore requires flexibility in other parts of the system.
Electric Vehicles (EVs) produce no tailpipe emissions, and can be charged at any location with an electricity supply; at home, work, supermarket, or dedicated
charging facilities. Because driving times tend to coincide with existing peak electricity demand, EV
charging will occur at times of already high electricity demand if not controlled. Fortunately, there is substantial flexibility over the timing of
charging, which can be exploited to minimise adverse impacts on electricity grids. Additional benefits are realised when energy is allowed to flow from the vehicle's battery back into the electricity grid; a concept known as vehicle-to-grid (V2G).
Through the development of a simulation based on future energy scenarios in New Zealand, the research presented in this thesis evaluates the extent to which the flexibility of EV
charging may be exploited to support high levels of non-dispatchable renewable electricity generation. Several EV
charging strategies are introduced and evaluated across a range of metrics with wind penetration levels ranging between 10% and 50% on an annual energy basis. With a V2G-enabled fleet consisting of one million vehicles (25% of New Zealand's projected light vehicle fleet size in 2030), it is found that EV
charging is sufficiently flexible to the extent that electricity generation does not need to follow daily variations in load. The EV fleet is capable of meeting the power and ramping requirements of the electricity grid, in addition to its own transportation needs, so long as sufficient energy is generated within a few days of its consumption. Such flexibility is expected to greatly assist the future expansion of non-dispatchable renewable electricity generation in New Zealand.
Advisors/Committee Members: Apperley, Mark (advisor), Rogers, Bill (advisor).
Subjects/Keywords: Electric Vehicles;
Renewable Energy;
Charging Strategies;
Simulation;
Smart Grid;
Electricity
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APA ·
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APA (6th Edition):
Monigatti, P. W. (2017). Smart charging strategies for Electric Vehicles utilising non-dispatchable renewable electricity generation
. (Doctoral Dissertation). University of Waikato. Retrieved from http://hdl.handle.net/10289/11441
Chicago Manual of Style (16th Edition):
Monigatti, Paul William. “Smart charging strategies for Electric Vehicles utilising non-dispatchable renewable electricity generation
.” 2017. Doctoral Dissertation, University of Waikato. Accessed March 06, 2021.
http://hdl.handle.net/10289/11441.
MLA Handbook (7th Edition):
Monigatti, Paul William. “Smart charging strategies for Electric Vehicles utilising non-dispatchable renewable electricity generation
.” 2017. Web. 06 Mar 2021.
Vancouver:
Monigatti PW. Smart charging strategies for Electric Vehicles utilising non-dispatchable renewable electricity generation
. [Internet] [Doctoral dissertation]. University of Waikato; 2017. [cited 2021 Mar 06].
Available from: http://hdl.handle.net/10289/11441.
Council of Science Editors:
Monigatti PW. Smart charging strategies for Electric Vehicles utilising non-dispatchable renewable electricity generation
. [Doctoral Dissertation]. University of Waikato; 2017. Available from: http://hdl.handle.net/10289/11441
14.
Codani, Paul.
Integration des véhicules électriques dans les réseaux électriques : Modèles d’affaire et contraintes techniques pour constructeurs automobiles : Grid Integrated Vehicles : Business Models and Technical Constraints for Car Manufacturers.
Degree: Docteur es, Génie électrique, 2016, Université Paris-Saclay (ComUE)
URL: http://www.theses.fr/2016SACLC073
► Les ventes de Véhicules Électriques (VE) ont fortement augmenté ces dernières années. Si les processus de charge de ces VE ne sont pas gérés de…
(more)
▼ Les ventes de Véhicules Électriques (VE) ont fortement augmenté ces dernières années. Si les processus de charge de ces VE ne sont pas gérés de manière intelligente, ils risquent de surcharger les réseaux électriques. Inversement, les VE pourraient représenter une opportunité pour ces réseaux en tant qu'unités de stockage distribuées.Cette thèse se propose d’étudier l’intégration intelligente des véhicules rechargeables dans les réseaux électriques d’un point de vue technique, réglementaire et économique. Dans un premier temps, le cadre général nécessaire au développement de ces solutions est passé en revue : les domaines d’application et scenarios de référence sont décrits, les acteurs principaux listés, et les défis principaux analysés.Ensuite, l’accent est mis sur les services système, et plus particulièrement sur le réglage de fréquence. Les conditions règlementaires permettant la participation d’une flotte de véhicules électriques à ce service sont étudiées à partir d’une revue des règles de gestionnaires de réseau de transport existants. De nombreuses simulations techniques et économiques sont réalisées, pour différentes règles de marché.Les services réseau locaux sont ensuite considères. Un éco-quartier est modélisé : il comprend différentes unités de consommation et des sources de production distribuées. Un gestionnaire énergétique local est proposé : son rôle est de contrôler les taux de charge / décharge des véhicules électriques de l’éco-quartier dans l’objectif de limiter les surcharges subies par le transformateur électrique de l’éco-quartier. Des conséquences économiques sont tirées des résultats techniques.Enfin, des résultats expérimentaux sont présentés. Le comportement de deux VE est analysé, dont un dispose de capacités bidirectionnelles. Les preuves de concept expérimentales confirment les capacités théoriques des véhicules électriques : il s’agit d’unités à temps de réponse très court (même en considérant l’architecture TIC complète) et ils sont capables de réagir à des signaux réseau très précisément.
Electric vehicles (EVs) penetration has been rapidly increasing during the last few years. If not managed properly, the charging process of EVs could jeopardize electric grid operations. On the other hand, Grid Integrated Vehicles (GIVs), i.e. vehicles whose charging and discharging patterns are smartly controlled, could turn into valuable assets for the electrical grids as distributed storage units.In this thesis, GIVs are studied from a technical, regulatory, and economics perspectives. First, the general framework for a smart grid integration of EVs is reviewed: application areas and benchmark scenarios are described, the main actors are listed, and the most important challenges are analyzed.Then, the emphasis is put on system wide services, and more particularly on frequency control mechanisms. The regulatory conditions enabling the participation of GIV fleets to this service are studied based on an intensive survey of existing transmission system operator rules. Several economics and…
Advisors/Committee Members: Petit, Marc (thesis director), Perez, Yannick (thesis director).
Subjects/Keywords: Vehiculez électriques; Integration Réseaux; Smart grids; Charge Intelligente; Electric Vehicles; Grid Integration; Smart grids; Smart Charging
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APA ·
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Manager
APA (6th Edition):
Codani, P. (2016). Integration des véhicules électriques dans les réseaux électriques : Modèles d’affaire et contraintes techniques pour constructeurs automobiles : Grid Integrated Vehicles : Business Models and Technical Constraints for Car Manufacturers. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2016SACLC073
Chicago Manual of Style (16th Edition):
Codani, Paul. “Integration des véhicules électriques dans les réseaux électriques : Modèles d’affaire et contraintes techniques pour constructeurs automobiles : Grid Integrated Vehicles : Business Models and Technical Constraints for Car Manufacturers.” 2016. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 06, 2021.
http://www.theses.fr/2016SACLC073.
MLA Handbook (7th Edition):
Codani, Paul. “Integration des véhicules électriques dans les réseaux électriques : Modèles d’affaire et contraintes techniques pour constructeurs automobiles : Grid Integrated Vehicles : Business Models and Technical Constraints for Car Manufacturers.” 2016. Web. 06 Mar 2021.
Vancouver:
Codani P. Integration des véhicules électriques dans les réseaux électriques : Modèles d’affaire et contraintes techniques pour constructeurs automobiles : Grid Integrated Vehicles : Business Models and Technical Constraints for Car Manufacturers. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2016. [cited 2021 Mar 06].
Available from: http://www.theses.fr/2016SACLC073.
Council of Science Editors:
Codani P. Integration des véhicules électriques dans les réseaux électriques : Modèles d’affaire et contraintes techniques pour constructeurs automobiles : Grid Integrated Vehicles : Business Models and Technical Constraints for Car Manufacturers. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2016. Available from: http://www.theses.fr/2016SACLC073
Delft University of Technology
15.
Francis, Novy (author).
E-Hub - Solar Powered Electric Vehicle Charging Station: Electrical system design, Optimisation and Testing.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:5ab811f3-f85a-4b1e-979a-c2a5ad76e3fc
► The development in technology and increased public interest has attributed to an unprecedented growth of E-mobility in recent years. Electric vehicles (EVs) even though viewed…
(more)
▼ The development in technology and increased public interest has attributed to an unprecedented growth of E-mobility in recent years. Electric vehicles (EVs) even though viewed as emission free and environmental friendly can still contribute towards indirect emissions if charged by using traditional fossil fuels. The integration of renewable energy sources is hence paramount to approach a completely carbon free future of E-mobility integration in the transportation sector. This thesis project aims at designing and implementing a photovoltaic (PV) based charging station for a fleet of ten EVs in the TU Delft campus. The complete solar powered charging station for EVs is hence called as E-Hub, which aims to facilitate the development of e-mobility in the TU Delft campus by providing charging facilities that can be scaled up along with a competitive business model. At first, the driving pattern of EV owners in the Netherlands is analysed to categorize employees and visitors. The driving pattern is used to estimate the load profile and the yearly charging demand for the EV fleet in the TU Delft campus. Calendar effects such as holidays and vacations are taken into account to accurately predict the charging demand. A thorough PV system design is carried out to meet the estimated charging demand, followed by a practical and economic feasibility study. The components required for the E-hub are listed along with an estimation of the initial investment. Later an optimisation model is used to develop power management algorithms for optimum economical performance based on the designed technical framework. Nine charging strategies are considered for both summer and winter conditions. The performance of each strategy is analysed under the estimated load profile and designed PV system. The model is also extended to explore the integration of battery systems and its effect on the technical and economical performance of the E-Hub. This battery system can hence function as a virtual power plant to supply power back to the grid in times of peak load and facilitate in stabilization of the grid. A proof of concept is then built to test the developed power management algorithms in the Electrical Sustainable Power Lab (EWI, TU Delft). The Eneco SolarEdge and Tesla Powerwall (ESTP) set-up is used to study the power flow and a system is designed to dynamically control and monitor the ESTP set-up. It was concluded that such a system is technically and economically feasible and can be implemented in the university to provide an environmentally friendly charging infrastructure to electrical vehicles.
E-Hub
Sustainable Energy Technology
Advisors/Committee Members: Bauer, Pavol (mentor), Chandra Mouli, Gautham Ram (mentor), Smets, Arno (graduation committee), Ghaffarian Niasar, Mohamad (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: solar energy; EV; Electric Vehicle; Charging Infrastructure; Tesla Powerwall; Renewable Energy; Photovoltaic Systems; Experimental study; System design; Smart charging
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APA (6th Edition):
Francis, N. (. (2017). E-Hub - Solar Powered Electric Vehicle Charging Station: Electrical system design, Optimisation and Testing. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:5ab811f3-f85a-4b1e-979a-c2a5ad76e3fc
Chicago Manual of Style (16th Edition):
Francis, Novy (author). “E-Hub - Solar Powered Electric Vehicle Charging Station: Electrical system design, Optimisation and Testing.” 2017. Masters Thesis, Delft University of Technology. Accessed March 06, 2021.
http://resolver.tudelft.nl/uuid:5ab811f3-f85a-4b1e-979a-c2a5ad76e3fc.
MLA Handbook (7th Edition):
Francis, Novy (author). “E-Hub - Solar Powered Electric Vehicle Charging Station: Electrical system design, Optimisation and Testing.” 2017. Web. 06 Mar 2021.
Vancouver:
Francis N(. E-Hub - Solar Powered Electric Vehicle Charging Station: Electrical system design, Optimisation and Testing. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 06].
Available from: http://resolver.tudelft.nl/uuid:5ab811f3-f85a-4b1e-979a-c2a5ad76e3fc.
Council of Science Editors:
Francis N(. E-Hub - Solar Powered Electric Vehicle Charging Station: Electrical system design, Optimisation and Testing. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:5ab811f3-f85a-4b1e-979a-c2a5ad76e3fc
NSYSU
16.
Chou, Min-yao.
Study on Decentralized Plug-in Electric Vehicle Charging/Discharging Strategies Based on Smart Grid.
Degree: Master, Communications Engineering, 2013, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0604113-141654
► The emergence of plug-in electric vehicles (PEVs) shall bring a significant impact on the existing power system. In this thesis, we propose decentralized energy management…
(more)
▼ The emergence of plug-in electric vehicles (PEVs) shall bring a significant impact on the existing power system. In this thesis, we propose decentralized energy management strategies for PEVs to mitigate the impact of PEV-
charging by using the alternating direction method of multipliers (ADMM) base on
smart grid. With the proposed strategies, we can handle the high penetration level of PEVs. However,
the decentralized algorithm based on the ADMM method requires large numbers of iterations to achieve their optimal solutions. To improve their convergence rate, we divide the whole system into two sub-systems: the user sub-system and the grid sub-system. The user sub-system coordinates the PEV
charging(discharging) and aims at maximizing user convenience levels while meeting predefined power demand
limits. We develop a distributed algorithm to solve the
charging(discharging) problem in a decentralized manner. In addition, we exploit driving habit of individual EV user to accelerate the convergence rate. On the other hand, the grid sub-system
aims at minimizing power generation cost while meeting some circuit-level limits. We also develop a distributed algorithm to solve the optimization problem at the grid side. Finally, several simulations are conducted to verify the efficiency of the proposed energy management strategies.
Advisors/Committee Members: Wan-Jen Huang (chair), Pang-An Ting (chair), Tsang-Yi Wang (chair), Chao-Kai Wen (committee member), Chih-Peng Li (chair).
Subjects/Keywords: ADMM; optimal power flow; decentralized algorithm; Smart grid; plug-in hybrid electric vehicle; charging(discharging)
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APA (6th Edition):
Chou, M. (2013). Study on Decentralized Plug-in Electric Vehicle Charging/Discharging Strategies Based on Smart Grid. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0604113-141654
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Chou, Min-yao. “Study on Decentralized Plug-in Electric Vehicle Charging/Discharging Strategies Based on Smart Grid.” 2013. Thesis, NSYSU. Accessed March 06, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0604113-141654.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chou, Min-yao. “Study on Decentralized Plug-in Electric Vehicle Charging/Discharging Strategies Based on Smart Grid.” 2013. Web. 06 Mar 2021.
Vancouver:
Chou M. Study on Decentralized Plug-in Electric Vehicle Charging/Discharging Strategies Based on Smart Grid. [Internet] [Thesis]. NSYSU; 2013. [cited 2021 Mar 06].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0604113-141654.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chou M. Study on Decentralized Plug-in Electric Vehicle Charging/Discharging Strategies Based on Smart Grid. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0604113-141654
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
NSYSU
17.
Liu, Hung-Ju.
A Study of Electric Vehicle Charging Station Planning Considering Distribution System Operations.
Degree: Master, Electrical Engineering, 2013, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1001113-154640
► Electric Vehicle will be a critical part of automobile market. Since the EV penetration rate is rising, there should be enough charging infrastructure to fulfill…
(more)
▼ Electric Vehicle will be a critical part of automobile market. Since the EV penetration rate is rising, there should be enough
charging infrastructure to fulfill the EV
charging demands.
Charging load at home or at the
charging station will both cause negative impacts to the existing distribution system operations. Therefore EV
charging station planning must consider the usersâ demand and operation constraints of power system. This thesis uses a non-homogeneous Markov Chains model to simulate random EV driving pattern and
charging behavior. Then try to define the location of
charging station where can maximize the service coverage rate to all the
charging demands by applying a genetic algorithm. After the suitable locations are decided, the next step is to find an optimal number of
charging poles at each
charging station to provide adequate service level by a nonstationary Poisson process model based on M/M/c queueing theory. Study results show that with proper planning of the
charging station, the EV
charging impacts can be mitigated without sacrificing satisfaction of
charging demands under different
charging station layout
Advisors/Committee Members: Chang-Huan Liu (chair), Ching-Tsai Pan (chair), Chan-Nan Lu (committee member), Sheng-Nian Yeh (chair).
Subjects/Keywords: markov chain; genetic algorithm; smart grid; distribution system; charging station planning; electric vehicle
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Liu, H. (2013). A Study of Electric Vehicle Charging Station Planning Considering Distribution System Operations. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1001113-154640
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Liu, Hung-Ju. “A Study of Electric Vehicle Charging Station Planning Considering Distribution System Operations.” 2013. Thesis, NSYSU. Accessed March 06, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1001113-154640.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Liu, Hung-Ju. “A Study of Electric Vehicle Charging Station Planning Considering Distribution System Operations.” 2013. Web. 06 Mar 2021.
Vancouver:
Liu H. A Study of Electric Vehicle Charging Station Planning Considering Distribution System Operations. [Internet] [Thesis]. NSYSU; 2013. [cited 2021 Mar 06].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1001113-154640.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Liu H. A Study of Electric Vehicle Charging Station Planning Considering Distribution System Operations. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1001113-154640
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
NSYSU
18.
RAMON LEGUIZAMON BRITOS , WALTER.
Implementation of Smart Charging and Network Reconfiguration for Operating Cost Reduction in Power Distribution Systems.
Degree: Master, IMEPE, 2016, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0521116-112514
► A procedure for implementing smart charging and network reconfiguration is formulated in this thesis. This technique aims to mitigate the negative impact in the operating…
(more)
▼ A procedure for implementing
smart charging and network reconfiguration is formulated in this thesis. This technique aims to mitigate the negative impact in the operating cost that may occur due to the presence of large number of electric vehicles connected into power distribution systems.
Price-based demand response is implemented for
smart charging, where the electric vehicles are charged based on their availability and the energy price. A day-ahead market is considered, from where the forecasted energy price and initial load profile is collected. Linear programming optimization model is used to determine the hourly
charging level of each electric vehicle with the goal of minimizing the
charging costs.
After the
smart charging is carried out, the total scheduled
charging load is added to the forecasted initial load profile of the distribution system. Network reconfiguration considering the switching cost is then performed to reduce the operating cost of the distribution system resulting from power losses and the switching operation. Genetic algorithm technique is adopted to determine the hourly configuration of the system.
The proposed procedure is tested in a modified IEEE system under
smart grid framework. Simulations results are provided to validate the effectiveness of the proposed method.
Advisors/Committee Members: Ta-Peng Tsao (chair), Wei-Min Lin (committee member), Jen-Hao Teng (chair).
Subjects/Keywords: Demand Response; Distribution Systems; Operating Cost; Network Reconfiguration; Smart Charging; Electric Vehicle
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Export
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Manager
APA (6th Edition):
RAMON LEGUIZAMON BRITOS , W. (2016). Implementation of Smart Charging and Network Reconfiguration for Operating Cost Reduction in Power Distribution Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0521116-112514
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
RAMON LEGUIZAMON BRITOS , WALTER. “Implementation of Smart Charging and Network Reconfiguration for Operating Cost Reduction in Power Distribution Systems.” 2016. Thesis, NSYSU. Accessed March 06, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0521116-112514.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
RAMON LEGUIZAMON BRITOS , WALTER. “Implementation of Smart Charging and Network Reconfiguration for Operating Cost Reduction in Power Distribution Systems.” 2016. Web. 06 Mar 2021.
Vancouver:
RAMON LEGUIZAMON BRITOS W. Implementation of Smart Charging and Network Reconfiguration for Operating Cost Reduction in Power Distribution Systems. [Internet] [Thesis]. NSYSU; 2016. [cited 2021 Mar 06].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0521116-112514.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
RAMON LEGUIZAMON BRITOS W. Implementation of Smart Charging and Network Reconfiguration for Operating Cost Reduction in Power Distribution Systems. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0521116-112514
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Texas A&M University
19.
Collado Vaca, Edwin Oldemar.
Profit Maximization with Customer Satisfaction Control for Electric Vehicle Charging in Smart Grids.
Degree: PhD, Electrical Engineering, 2016, Texas A&M University
URL: http://hdl.handle.net/1969.1/187015
► As the market of electric vehicles is gaining popularity, large-scale commercialized or privately-operated charging stations are expected to play a key role as a technology…
(more)
▼ As the market of electric vehicles is gaining popularity, large-scale commercialized or privately-operated
charging stations are expected to play a key role as a technology enabler. In this dissertation, we study the problem of
charging electric vehicles at stations with limited
charging machines and power resources. Our electric vehicle
charging station is composed of a central controller, multiple
charging machines, and a plurality of parking lots. Each parking lot has a plug connectable to an arbitrary
charging machine through a switching bar system. The switching bar system allows the station owner to serve a larger number of customers at the same time by enabling dynamic connections, where the number of
charging machines could be much less than the number of plugs. The central controller collects all the information provided by the customers in advance or on the fly and decides when to activate or de-activate a machine-to-plug connection, how fast the vehicles should be charged, and how much energy should be delivered to each vehicle.
The purpose of this study is to develop a novel profit maximization framework for
charging station operation in both offline and online
charging scenarios, under certain customer satisfaction constraints. The main goal is to maximize the profit obtained by the station owner and provide a satisfactory
charging service to the customers. The framework includes not only the vehicle scheduling and
charging power control, but also the managing of user satisfaction factors, which are defined as the percentages of finished
charging targets. The profit maximization problem is proved to be NP-complete in both scenarios, for which two-stage
charging strategies are proposed to obtain efficient suboptimal solutions. Competitive analysis is also provided to analyze the performance of the proposed online two-stage
charging algorithm against the offline counterpart under non-congested and congested
charging scenarios.
Finally, the simulation results show that the proposed two-stage
charging strategies have remarkable performance gains compared to the exhaustive search and other conventional
charging strategies with respect to not only the unified profit, but also other practical interests, such as the computational time, the user satisfaction factor, the percentage of electric vehicles serviced, the power consumption, the competitive ratio, and the load factor.
Advisors/Committee Members: Cui, Shuguang (advisor), Xiong, Zixiang (committee member), Kish, Laszlo B. (committee member), Sivakumar, N. (committee member).
Subjects/Keywords: Convex Optimization; Machine Scheduling; Electric Vehicles Charging; Competitive Ratio Analysis; Smart Grid
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APA ·
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Export
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Manager
APA (6th Edition):
Collado Vaca, E. O. (2016). Profit Maximization with Customer Satisfaction Control for Electric Vehicle Charging in Smart Grids. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/187015
Chicago Manual of Style (16th Edition):
Collado Vaca, Edwin Oldemar. “Profit Maximization with Customer Satisfaction Control for Electric Vehicle Charging in Smart Grids.” 2016. Doctoral Dissertation, Texas A&M University. Accessed March 06, 2021.
http://hdl.handle.net/1969.1/187015.
MLA Handbook (7th Edition):
Collado Vaca, Edwin Oldemar. “Profit Maximization with Customer Satisfaction Control for Electric Vehicle Charging in Smart Grids.” 2016. Web. 06 Mar 2021.
Vancouver:
Collado Vaca EO. Profit Maximization with Customer Satisfaction Control for Electric Vehicle Charging in Smart Grids. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 Mar 06].
Available from: http://hdl.handle.net/1969.1/187015.
Council of Science Editors:
Collado Vaca EO. Profit Maximization with Customer Satisfaction Control for Electric Vehicle Charging in Smart Grids. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/187015
Hong Kong University of Science and Technology
20.
Chen, Shibo ECE.
Demand-side management for ancillary services provision in smart grid.
Degree: 2017, Hong Kong University of Science and Technology
URL: http://repository.ust.hk/ir/Record/1783.1-90967
;
https://doi.org/10.14711/thesis-991012554661103412
;
http://repository.ust.hk/ir/bitstream/1783.1-90967/1/th_redirect.html
► With the increased penetration of intermittent renewable energy sources in the power grid, power system operators need to maintain more ancillary services (AS) to ensure…
(more)
▼ With the increased penetration of intermittent renewable energy sources in the power grid, power system operators need to maintain more ancillary services (AS) to ensure system reliability. Recently, demand-side management (DSM) has been proposed as a novel approach for AS provision in future smart grids. The idea is to change the power consumption behavior at the demand-side to achieve certain objectives like active power balancing and reactive power support. In this thesis, we study and tackle three issues related to the existing challenges in the implementation of DSM for AS provision. Firstly, we focus on the issue of operating reserves provision and show how to use load aggregators to enable residential users to provide operating reserves. A hierarchical structure is introduced. In the lower level, we propose an incentive compatible and social optimal mechanism for user aggregation. In the upper level, the reserve market is modeled using the conjectured supply function approach. We prove the existence and uniqueness of the market equilibrium, and analyze its efficiency. A distributed algorithm is also developed that converges to the equilibrium. We find that by applying our aggregation mechanism, both power system operators and residential users can benefit financially. We also investigate the control problem of charging electric vehicles (EV) under uncertainty. Both synchronous and asynchronous distributed algorithms are proposed to solve this stochastic optimization problem using the historical information only. The computation burden is distributed to the EVs, thus ensuring the scalability of the algorithms. We found the convergence rate of the synchronous algorithm and obtain a sparse charging solution so that the EV battery degradation caused by frequent charging can be mitigated. Simulation results validate our proposed schemes, and show how the algorithm shaves the load peak. Finally, we consider the issue of supporting reactive power from demand-side users with photovoltaic (PV) inverters in a distribution system. A Stackelberg game is proposed to model this problem. As the game leader, the system operator solves an optimal power flow problem to determine the reactive power prices with the knowledge of the reaction of users. As game followers, users apply an online algorithm to control the battery and PV inverter to maximize the time average revenue based on techniques in Lyapunov optimization. This algorithm has low complexity and does not need prior knowledge of the uncertain parameters. We prove that it can achieve near-optimal performance when the battery size is large. Simulation results show the increased user revenue, reduced power loss and improved voltage profile in the distribution network.
Subjects/Keywords: Smart power grids
; Mathematical models
; Battery charging stations (Electric vehicles)
; Electric power distribution
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APA ·
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Manager
APA (6th Edition):
Chen, S. E. (2017). Demand-side management for ancillary services provision in smart grid. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-90967 ; https://doi.org/10.14711/thesis-991012554661103412 ; http://repository.ust.hk/ir/bitstream/1783.1-90967/1/th_redirect.html
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Chen, Shibo ECE. “Demand-side management for ancillary services provision in smart grid.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed March 06, 2021.
http://repository.ust.hk/ir/Record/1783.1-90967 ; https://doi.org/10.14711/thesis-991012554661103412 ; http://repository.ust.hk/ir/bitstream/1783.1-90967/1/th_redirect.html.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Chen, Shibo ECE. “Demand-side management for ancillary services provision in smart grid.” 2017. Web. 06 Mar 2021.
Vancouver:
Chen SE. Demand-side management for ancillary services provision in smart grid. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2021 Mar 06].
Available from: http://repository.ust.hk/ir/Record/1783.1-90967 ; https://doi.org/10.14711/thesis-991012554661103412 ; http://repository.ust.hk/ir/bitstream/1783.1-90967/1/th_redirect.html.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Chen SE. Demand-side management for ancillary services provision in smart grid. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-90967 ; https://doi.org/10.14711/thesis-991012554661103412 ; http://repository.ust.hk/ir/bitstream/1783.1-90967/1/th_redirect.html
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Delft University of Technology
21.
van der Veer, Koen (author).
Exploring the performance and ethicality of smart charging systems: An explorative agent-based modeling research on the performance, system-usage, and ethical value fulfilment of decentralised and centralised smart charging systems.
Degree: 2018, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:3ebbe2b0-1067-4268-b1ae-7b14d5d451ea
► Increased Feed-in of renewable energy sources and an increase of sales of electric vehicles (EVs) complicate balancing of demand and supply. EVs are considered core…
(more)
▼ Increased Feed-in of renewable energy sources and an increase of sales of electric vehicles (EVs) complicate balancing of demand and supply. EVs are considered core enablers for dealing with intermittency due to their storage potential. This does however require that these EVs are charged according to
smart charging protocols, which is a vehicle-to-grid (V2G) technology. Options exist for designing such a system. However, due to the gathering of personal (transactional) data, and the involvement of monetary assets, ethical concerns such as privacy and trust issues are assumed to arise at or after the introduction of such a technology. This has been the case with for instance
smart meters. The effects of such ethical concerns on the usage of
smart charging systems are unknown. The main research question for this thesis is: “How can a
smart charging system be designed which is both used on the short- and long-term and fulfils ethical values of EV owners?” The purpose of this thesis was to explore and assess different
smart EV
charging system designs concerning factors contributing to system performance and possible ethical concerns. The research was conducted by creating an integrated framework of both the capability approach and complex adaptive systems. Agent-based modeling was used as the main research method in order to model the behaviour of EV owners within an
smart charging environment. The model aims at providing valuable insights concerning which system design performs best with respect to system performance and ethical value fulfilment. Several architectural design decisions are elaborated on with respect to a decentralised or a centralised system. The research outcomes indicate possible short- and long-term ethical concerns of users with respect to the designed system. The effects of these concerns are at this point unknown, but are considered to have an ongoing effect on the performance of the system. The research objectives involve the identification of four key architectural design decisions which consist of both decentralised and centralised alternatives. The conceptual framework built upon the capability approach, the unified theory of acceptance and use of technology (UTAUT), and complex adaptive systems is used as conceptual basis for the agent-based model. The experimental design revolves around comparing three experimental design alternatives: a (1) public centralised system, (2) public decentralised system, and (3) a private decentralised system. The public centralised system describes a system which is controlled by a single authority, and in which data is stored within an external database. Furthermore, participants are free to participate. The public decentralised system describes a system which is not controlled by a single authority, and in which transactions are validated through shared consensus. Within the private decentralised system, power is exerted towards a single facilitator, which is authorised to whitelist participants. Aside from whitelisting…
Advisors/Committee Members: van de Poel, Ibo (mentor), Chappin, Emile (mentor), Kwakkel, Jan (graduation committee), de Wildt, T.E. (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Capability approach; Agent-based modeling; V2G; Smart charging; Exploratory Modelling and Analysis
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APA ·
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MLA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
van der Veer, K. (. (2018). Exploring the performance and ethicality of smart charging systems: An explorative agent-based modeling research on the performance, system-usage, and ethical value fulfilment of decentralised and centralised smart charging systems. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:3ebbe2b0-1067-4268-b1ae-7b14d5d451ea
Chicago Manual of Style (16th Edition):
van der Veer, Koen (author). “Exploring the performance and ethicality of smart charging systems: An explorative agent-based modeling research on the performance, system-usage, and ethical value fulfilment of decentralised and centralised smart charging systems.” 2018. Masters Thesis, Delft University of Technology. Accessed March 06, 2021.
http://resolver.tudelft.nl/uuid:3ebbe2b0-1067-4268-b1ae-7b14d5d451ea.
MLA Handbook (7th Edition):
van der Veer, Koen (author). “Exploring the performance and ethicality of smart charging systems: An explorative agent-based modeling research on the performance, system-usage, and ethical value fulfilment of decentralised and centralised smart charging systems.” 2018. Web. 06 Mar 2021.
Vancouver:
van der Veer K(. Exploring the performance and ethicality of smart charging systems: An explorative agent-based modeling research on the performance, system-usage, and ethical value fulfilment of decentralised and centralised smart charging systems. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 06].
Available from: http://resolver.tudelft.nl/uuid:3ebbe2b0-1067-4268-b1ae-7b14d5d451ea.
Council of Science Editors:
van der Veer K(. Exploring the performance and ethicality of smart charging systems: An explorative agent-based modeling research on the performance, system-usage, and ethical value fulfilment of decentralised and centralised smart charging systems. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:3ebbe2b0-1067-4268-b1ae-7b14d5d451ea
Delft University of Technology
22.
Sahu, Aarav (author).
Exploring the role of battery electric and fuel cell electric vehicles in a sustainable smart city.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:da27ce85-3d7a-4414-8d0d-615897ea777e
► Battery electric and fuel cell electric vehicles have the potential to cover the shortage in renewable power generation by engaging in vehicle-to-grid. However, the vehicle-to-grid…
(more)
▼ Battery electric and fuel cell electric vehicles have the potential to cover the shortage in renewable power generation by engaging in vehicle-to-grid. However, the vehicle-to-grid service cannot completely make up for the intermittent nature of renewables. Deterministic models were used to compute the extent to which the vehicles can engage in the vehicle-to-grid service in a smart city domain using the ‘Car as Power Plant’ model. The extent to which the vehicles can provide grid support in terms of energy valley filling is dependent on the method of selecting the vehicles for vehicle-to-grid and the nature of the load demand. Constraining algorithms limiting the extent of refuelling and recharging of the vehicles can help curtail import of hydrogen and power and spread the demand more evenly across the timeline, but also increase the waiting times during the same. An aggregator while coordinating vehicles for the vehicle-to-grid service may encounter some conflicts of interests with respect to ensuring equal vehicle-to-grid participation amongst its customers and investing in the supporting energy infrastructure. The setting of a minimum threshold fuel requirement for participating in vehicle-to-grid strongly relates to the effectiveness of the vehicle-to-grid service. There are some barriers for the adoption of vehicle-to-grid adoption such as competition from stationary batteries and its unreliability that is limiting its uptake. Additionally, the lack of mass uptake of battery electric and fuel cell electric vehicles has not yet got the market participants interested to invest in the vehicle-to-grid technology. Optimal smart charging strategies must address a variety of variables such as the solar hours, hourly grid prices, peak hours surcharge, charging infrastructure and congestion management. Many of the variables associated with smart charging are conflicting in nature and it sheds light on the multi-actor optimisation role of an energy aggregator.
Car as Power Plant
Advisors/Committee Members: Lukszo, Zofia (mentor), Cunningham, Scott (graduation committee), Park Lee, Esther (graduation committee), van Wijk, Ad (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Vehicle-to-grid; Energy aggregator; Smart charging; Battery electric vehicles; Fuel Cell Electric Vehicle
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APA (6th Edition):
Sahu, A. (. (2017). Exploring the role of battery electric and fuel cell electric vehicles in a sustainable smart city. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:da27ce85-3d7a-4414-8d0d-615897ea777e
Chicago Manual of Style (16th Edition):
Sahu, Aarav (author). “Exploring the role of battery electric and fuel cell electric vehicles in a sustainable smart city.” 2017. Masters Thesis, Delft University of Technology. Accessed March 06, 2021.
http://resolver.tudelft.nl/uuid:da27ce85-3d7a-4414-8d0d-615897ea777e.
MLA Handbook (7th Edition):
Sahu, Aarav (author). “Exploring the role of battery electric and fuel cell electric vehicles in a sustainable smart city.” 2017. Web. 06 Mar 2021.
Vancouver:
Sahu A(. Exploring the role of battery electric and fuel cell electric vehicles in a sustainable smart city. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 06].
Available from: http://resolver.tudelft.nl/uuid:da27ce85-3d7a-4414-8d0d-615897ea777e.
Council of Science Editors:
Sahu A(. Exploring the role of battery electric and fuel cell electric vehicles in a sustainable smart city. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:da27ce85-3d7a-4414-8d0d-615897ea777e
University of Notre Dame
23.
Jing Huang.
State Estimation and PEV Scheduling in Smart
Grids</h1>.
Degree: Electrical Engineering, 2012, University of Notre Dame
URL: https://curate.nd.edu/show/vq27zk54c6m
► This dissertation studies state estimation (SE) and scheduling algorithms for modeling and managing smarter electric power systems. SE is the backbone of control functions…
(more)
▼ This dissertation studies state estimation
(SE) and scheduling algorithms for modeling and managing smarter
electric power systems. SE is the backbone of control functions in
the energy management system of the power grid. In this
dissertation, we consider SE at both the transmission system and
the distribution system. Although SE has been widely implemented in
the transmission systems, deployment of a large number of phasor
measurement units (PMU) call for major changes in the legacy SE
algorithms. This dissertation presents a reduced-order
forecasting-aided state estimator which effectively incorporates
PMU measurements with conventional measurements and demonstrates
its viability through simulations.
The evolution of the grid towards a
smarter grid will mean an increasing demand for situational
awareness and require SE at the distribution level. We develop an
enhanced forecasting-aided state estimation (FASE) algorithm that
incorporates forecasting-aided topology change detection and an
event-triggered recursive Bayesian estimator to identify the
correct topology of the distribution network. Simulation studies
with microgrid-induced changes are presented to illustrate the
effectiveness of the proposed algorithm. This
dissertation also considers the problem of optimizing the
charging
of plug-in hybrid electric vehicles (PHEVs) with a centralized
controller. As the penetration level of PHEVs increases, their
charging will become more stressful to the distribution system. In
our studies here, we concentrate on PHEV
charging in public
infrastructures, such as shared parking lots in commercial office
campuses and shopping malls. In such clustered scenarios, PHEV
charging demand can vary significantly and stochastically with
time, and the overall system performance is a trade-off between the
peak load on the distribution system and the consumer specified
deadlines that are met successfully. In these scenarios,
centralized scheduling of
charging will be beneficial, unlike
distributed residential
charging. In this dissertation, we show
that centralized scheduling algorithms can help the parking lot
owner to balance distribution system load with quality of
charging
service.
Advisors/Committee Members: Dr. Ken Sauer, Committee Member, Dr. Thomas Fuja, Committee Member, Dr. Vijay Gupta, Committee Co-Chair, Dr. Yih-Fang Huang, Committee Chair, Dr. Hai Lin, Committee Member.
Subjects/Keywords: transmission and distribution systems; plug-in electric vehicle charging; state estimation; smart power grid
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APA (6th Edition):
Huang, J. (2012). State Estimation and PEV Scheduling in Smart
Grids</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/vq27zk54c6m
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Huang, Jing. “State Estimation and PEV Scheduling in Smart
Grids</h1>.” 2012. Thesis, University of Notre Dame. Accessed March 06, 2021.
https://curate.nd.edu/show/vq27zk54c6m.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Huang, Jing. “State Estimation and PEV Scheduling in Smart
Grids</h1>.” 2012. Web. 06 Mar 2021.
Vancouver:
Huang J. State Estimation and PEV Scheduling in Smart
Grids</h1>. [Internet] [Thesis]. University of Notre Dame; 2012. [cited 2021 Mar 06].
Available from: https://curate.nd.edu/show/vq27zk54c6m.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Huang J. State Estimation and PEV Scheduling in Smart
Grids</h1>. [Thesis]. University of Notre Dame; 2012. Available from: https://curate.nd.edu/show/vq27zk54c6m
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Brno University of Technology
24.
Mílek, Čestmír.
"Smart" tester a nabíječka akumulátorů: Smart accumulator tester and charger.
Degree: 2018, Brno University of Technology
URL: http://hdl.handle.net/11012/2362
► Nickel cadmium and nickel metal hydride accumulators sets are currently used for supplying hand tools (screwdrivers,...). Problems of cheap hand tools are chargers, mostly of…
(more)
▼ Nickel cadmium and nickel metal hydride accumulators sets are currently used for supplying hand tools (screwdrivers,...). Problems of cheap hand tools are chargers, mostly of it doesn’t use any
charging driving circuits. In consequence of it the accumulators are kept incorrectly, which causes lowernig of lifetime. This thesis suggest circuit design Main of intelligent
charging system, which enable better battery management, increases battery lifetime and lower load of environment.
Advisors/Committee Members: Michálek, Václav (advisor), Trmač, Jiří (referee).
Subjects/Keywords: Akumulátor; inteligentní nabíjení; měření; testování; mikrokontrolér.; Accumulator; smart charging; measurement; testing; microcontroller.
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Manager
APA (6th Edition):
Mílek, . (2018). "Smart" tester a nabíječka akumulátorů: Smart accumulator tester and charger. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/2362
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Mílek, Čestmír. “"Smart" tester a nabíječka akumulátorů: Smart accumulator tester and charger.” 2018. Thesis, Brno University of Technology. Accessed March 06, 2021.
http://hdl.handle.net/11012/2362.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Mílek, Čestmír. “"Smart" tester a nabíječka akumulátorů: Smart accumulator tester and charger.” 2018. Web. 06 Mar 2021.
Vancouver:
Mílek . "Smart" tester a nabíječka akumulátorů: Smart accumulator tester and charger. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Mar 06].
Available from: http://hdl.handle.net/11012/2362.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Mílek . "Smart" tester a nabíječka akumulátorů: Smart accumulator tester and charger. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/2362
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Clemson University
25.
Rahmani-Andebili, Mehdi.
Towards Structuring Smart Grid: Energy Scheduling, Parking Lot Allocation, and Charging Management.
Degree: PhD, Electrical and Computer Engineering (Holcomb Dept. of), 2016, Clemson University
URL: https://tigerprints.clemson.edu/all_dissertations/2299
► Nowadays, the conventional power systems are being restructured and changed into smart grids to improve their reliability and efficiency, which brings about better social,…
(more)
▼ Nowadays, the conventional power systems are being restructured and changed into
smart grids to improve their reliability and efficiency, which brings about better social, economic, and environmental benefits. To build a
smart grid, energy scheduling, energy management, parking lot allocation, and
charging management of plug-in electric vehicles (PEVs) are important subjects that must be considered. Accordingly, in this dissertation, three problems in structuring a
smart grid are investigated.
The first problem investigates energy scheduling of
smart homes (SHs) to minimize daily energy consumption cost. The challenges of the problem include modeling the technical and economic constraints of the sources and dealing with the variability and uncertainties concerned with the power of the photovoltaic (PV) panels that make the problem a mixed-integer nonlinear programming (MINLP), dynamic (time-varying), and stochastic optimization problem. In order to handle the variability and uncertainties of power of PV panels, we propose a multi-time scale stochastic model predictive control (MPC). We use multi-time scale approach in the stochastic MPC to simultaneously have vast vision for the optimization time horizon and precise resolution for the problem variables. In addition, a combination of genetic algorithm (GA) and linear programming (GA-LP) is applied as the optimization tool. Further, we propose cooperative distributed energy scheduling to enable SHs to share their energy resources in a distributed way. The simulation results demonstrate remarkable cost saving due to cooperation of SHs with one another and the effectiveness of multi-time scale MPC over single-time scale MPC. Compared to the previous studies, this work is the first study that proposes cooperative distributed energy scheduling for SHs and applies multi-time scale optimization.
In the second problem, the price-based energy management of SHs for maximizing the daily profit of GENCO is investigated. The goal of GENCO is to design an optimal energy management scheme (optimal prices of electricity) that will maximize its daily profit based on the demand of active customers (SHs) that try to minimize their daily operation cost. In this study, a scenario-based stochastic approach is applied in the energy scheduling problem of each SH to address the variability and uncertainty issues of PV panels. Also, a combination of genetic algorithm (GA) and linear programming (GA-LP) is applied as the optimization tool for the energy scheduling problem of a SH. Moreover, Lambda-Iteration Economic Dispatch and GA approaches are applied to solve the generation scheduling and unit commitment (UC) problems of the GENCO, respectively. The numerical study shows the potential benefit of energy management for both GENCO and SH. Moreover, it is proven that the GENCO needs to implement the optimal scheme of energy management; otherwise, it will not be effective. Compared to the previous studies, the presented study in this paper is the first study that considers the…
Advisors/Committee Members: Haiying Shen, Committee Chair, William R. Harrell, Carl W. Baum, Lea Jenkins.
Subjects/Keywords: CHARGING MANAGEMENT; COOPERATIVE DISTRIBUTED ENERGY SCHEDULING; PARKING LOT ALLOCATION; SMART GRID; Electrical and Computer Engineering
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Rahmani-Andebili, M. (2016). Towards Structuring Smart Grid: Energy Scheduling, Parking Lot Allocation, and Charging Management. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/2299
Chicago Manual of Style (16th Edition):
Rahmani-Andebili, Mehdi. “Towards Structuring Smart Grid: Energy Scheduling, Parking Lot Allocation, and Charging Management.” 2016. Doctoral Dissertation, Clemson University. Accessed March 06, 2021.
https://tigerprints.clemson.edu/all_dissertations/2299.
MLA Handbook (7th Edition):
Rahmani-Andebili, Mehdi. “Towards Structuring Smart Grid: Energy Scheduling, Parking Lot Allocation, and Charging Management.” 2016. Web. 06 Mar 2021.
Vancouver:
Rahmani-Andebili M. Towards Structuring Smart Grid: Energy Scheduling, Parking Lot Allocation, and Charging Management. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2021 Mar 06].
Available from: https://tigerprints.clemson.edu/all_dissertations/2299.
Council of Science Editors:
Rahmani-Andebili M. Towards Structuring Smart Grid: Energy Scheduling, Parking Lot Allocation, and Charging Management. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/2299
University of Waterloo
26.
Alharbi , Talal Khalaf.
Energy Management and Smart Charging of PEVs in Isolated Microgrids.
Degree: 2015, University of Waterloo
URL: http://hdl.handle.net/10012/9707
► Microgrids are defined as a cluster of loads and micro-resources operating as a single controllable entity that provides both power and heat to its local…
(more)
▼ Microgrids are defined as a cluster of loads and micro-resources operating as a single controllable entity that provides both power and heat to its local area.
Typically, these rely on conventional diesel generators, but with recent developments are expected to include more renewable energy sources (RESs),
battery energy storage systems (BESSs), and plug-in electric vehicles (PEVs).
Both RESs, such as wind and solar, and PEVs can reduce greenhouse gas (GHG) emissions significantly such as carbon dioxide (CO_2) which are released from burning fuel by generators or conventional vehicles.
Energy management in isolated microgrids is an important task since these have limited generation capacity and are expected to rely on various uncontrollable
resources to match and balance the demand-supply gap.
Moreover, PEVs present a promising solution to GHG emissions but on the other hand, their increased penetration can
impact power system operation, particularly so in isolated microgrids.
Therefore, PEV load management is considered to be a crucial issue.
Similarly, demand response (DR) has the potential to provide significant flexibility in operation of isolated microgrids with limited generation capacity,
by altering the demand and introducing an elasticity effect.
The present research work examines the impact of uncontrolled and controlled (smart) charging of PEVs using a comprehensive mathematical optimization model for short-term operation of the isolated microgrid.
This model determines optimal energy management solutions combining generation from different resources such as diesel generators, wind turbines, solar panels, and BESSs, and incorporates the DR options as well.
Furthermore, the thesis presents a stochastic optimization model after creating several probabilistic operational scenarios for energy management and smart charging of PEVs in short-term operation of the isolated microgrid considering fixed and optimal DR options.
The proposed stochastic optimization model studies the impact of wind and solar generation output variability as well as the effect of uncertain energy consumption patterns of customers; and also the stochastic nature of the state of charge (SOC) of the PEV battery at the start of charging.
Several case and scenario studies considering a modified CIGRE isolated microgrid benchmark test system, and using the proposed models are presented and evaluated, to obtain insights into the effect of smart charging vis-`a-vis uncoordinated charging accompanied by DR options in overall energy management of the isolated microgrid.
Subjects/Keywords: demand response; energy management system; isolated microgrid; optimal power flow; stochastic programming; smart charging.
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Alharbi , T. K. (2015). Energy Management and Smart Charging of PEVs in Isolated Microgrids. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9707
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Alharbi , Talal Khalaf. “Energy Management and Smart Charging of PEVs in Isolated Microgrids.” 2015. Thesis, University of Waterloo. Accessed March 06, 2021.
http://hdl.handle.net/10012/9707.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Alharbi , Talal Khalaf. “Energy Management and Smart Charging of PEVs in Isolated Microgrids.” 2015. Web. 06 Mar 2021.
Vancouver:
Alharbi TK. Energy Management and Smart Charging of PEVs in Isolated Microgrids. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2021 Mar 06].
Available from: http://hdl.handle.net/10012/9707.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Alharbi TK. Energy Management and Smart Charging of PEVs in Isolated Microgrids. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9707
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
27.
Hodel, Henrik.
Impact of electrified bus transport on the electricity system of Gothenburg - Can electric buses provide a service to the electricity system?
.
Degree: Chalmers tekniska högskola / Institutionen för rymd-, geo- och miljövetenskap, 2020, Chalmers University of Technology
URL: http://hdl.handle.net/20.500.12380/301524
► The electrification of public bus transport is regarded as an important step in decarbonising metropolitan areas, yet little is known about its effects on the…
(more)
▼ The electrification of public bus transport is regarded as an important step in decarbonising
metropolitan areas, yet little is known about its effects on the energy system
of cities. Assessments in previous research do not explicitly account for the interconnection
between electrified public bus transport and the energy system. This
thesis studies how battery electric buses (BEBs) and the city energy system affect
each other. To study electric buses in this context their driving and corresponding
charging demand must be understood. This thesis aims to understand the impact of
electrified bus transport on the energy system of Gothenburg, Sweden. A three-part
method is employed. First, a model creates a network of electrified inner-city buses
in Gothenburg and determines their time-resolved electricity demand for charging.
Second, the charging of buses is matched to an electricity cost profile, and charging
is delayed such as to minimise electricity costs for charging while fulfilling all transport
demand in the network. Third, the electricity demand of the BEBs is added
to a cost-minimising linear optimisation model of a city energy system. It models
dispatch and investments in the energy system in a scenario with net zero CO2 emissions
from heat and electricity generation in the city, and limitations in electricity
import capacity. In the energy system model, the charging of the buses is delayed
such as to reduce the total city energy system cost. The findings suggest that, although
peaks in electricity demand of buses and the city overlap in time, BEBs have
negligible impact on composition and operation of the energy system. However, benefits
can be derived from delaying charging of buses to low electricity cost events,
reducing the buses’ charging cost and the afternoon peak in the BEBs’ electricity
demand. The findings also show a synergy between the fast charging bus network
and the generation from photovoltaic solar power, where a part of the demand from
the charging of buses during the day can be satisfied by generation within the city.
Subjects/Keywords: electric buses;
electrification;
smart cities;
Gothenburg;
public transport;
charging optimisation;
renewable energy;
electricity demand
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APA ·
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Manager
APA (6th Edition):
Hodel, H. (2020). Impact of electrified bus transport on the electricity system of Gothenburg - Can electric buses provide a service to the electricity system?
. (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/301524
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Hodel, Henrik. “Impact of electrified bus transport on the electricity system of Gothenburg - Can electric buses provide a service to the electricity system?
.” 2020. Thesis, Chalmers University of Technology. Accessed March 06, 2021.
http://hdl.handle.net/20.500.12380/301524.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hodel, Henrik. “Impact of electrified bus transport on the electricity system of Gothenburg - Can electric buses provide a service to the electricity system?
.” 2020. Web. 06 Mar 2021.
Vancouver:
Hodel H. Impact of electrified bus transport on the electricity system of Gothenburg - Can electric buses provide a service to the electricity system?
. [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2021 Mar 06].
Available from: http://hdl.handle.net/20.500.12380/301524.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hodel H. Impact of electrified bus transport on the electricity system of Gothenburg - Can electric buses provide a service to the electricity system?
. [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/301524
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
28.
Borne, Olivier.
Vehicle-to-grid and flexibility for electricity systems : from technical solutions to design of business models : Vehicle-To-Grid et Flexibilité pour les Réseaux d'Electricité : de la solution technique à la construction de business model.
Degree: Docteur es, Génie électrique, 2019, Université Paris-Saclay (ComUE)
URL: http://www.theses.fr/2019SACLC023
► Les ventes de Véhicules Electriques ont été en constante augmentation ces dix dernières années, stimulées par l’adoption de politique publique favorisant la décarbonation du secteur…
(more)
▼ Les ventes de Véhicules Electriques ont été en constante augmentation ces dix dernières années, stimulées par l’adoption de politique publique favorisant la décarbonation du secteur automobile. Dans un contexte d’accroissement des énergies renouvelables dans le mix énergétique, entraînant des besoins plus important en flexibilité, la diffusion massive des véhicules électriques pourrait constituer une nouvelle source de contrainte pour les gestionnaire de réseaux d'électricité si la recharge n’est pas gérée de manière intelligente.La gestion de la recharge des flottes de Véhicules Electriques peut aussi constituer une opportunité pour apporter cette flexibilité, en particulier si les véhicules sont équipés de chargeurs bidirectionnels, capables de réinjecter de l’électricité dans le système pour équilibrer les réseaux.La recherche s’est principalement intéressée à la conception d’algorithmes permettant cette recharge « intelligente », qui prennent en compte les besoins en mobilité des utilisateurs, tout en fournissant différents services de flexibilité.Cette thèse s’attache à aller au-delà de l’aspect algorithmique, en balayant l’ensemble des aspects qui permettraient d’aboutir à un modèle d’affaire viable, et en se focalisant sur la fourniture d’un type de service : la réserve primaire (Frequency Containment Reserve), qui constitue le service identifié comme ayant la plus forte valeur pour des flottes de Véhicules équipés de chargeurs bidirectionnels.
Transport industry being one the first CO2 emitters, there is an urgent need to decarbonize this sector, which could be achieved by the conjunction of the electrification of the vehicles and decarbonization of the electricity generation mix. In conjunction with increasing flexibility needs to support the introduction of Renewable Energy Sources, the development of Electric Vehicles could add new constraints for System Operators if charging process is not managed in a smart way.However, considering mobility requirements, there is a flexibility in the charging pattern of the vehicles, which could be used to offer flexibility services to System Operators, using smart-charging algorithms. Moreover, this flexibility could increase with the possibility to have reverse flow from the battery to the grid.Research focused mainly, during last years, on the design of algorithms to provide services with electric vehicles, taking into account mobility needs of users. In this thesis, we try to go beyond this design of algorithms, going through the different steps to elaborate a viable business model. We focus on the provision of one service – Frequency Containment Reserve – identified as the most valuable for Electric Vehicles equipped with bidirectional chargers.
Advisors/Committee Members: Petit, Marc (thesis director), Perez, Yannick (thesis director).
Subjects/Keywords: Véhicules électriques; Recharge intelligente; Business Model; Electric Vehicles; Smart Charging; Business Model
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APA (6th Edition):
Borne, O. (2019). Vehicle-to-grid and flexibility for electricity systems : from technical solutions to design of business models : Vehicle-To-Grid et Flexibilité pour les Réseaux d'Electricité : de la solution technique à la construction de business model. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2019SACLC023
Chicago Manual of Style (16th Edition):
Borne, Olivier. “Vehicle-to-grid and flexibility for electricity systems : from technical solutions to design of business models : Vehicle-To-Grid et Flexibilité pour les Réseaux d'Electricité : de la solution technique à la construction de business model.” 2019. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 06, 2021.
http://www.theses.fr/2019SACLC023.
MLA Handbook (7th Edition):
Borne, Olivier. “Vehicle-to-grid and flexibility for electricity systems : from technical solutions to design of business models : Vehicle-To-Grid et Flexibilité pour les Réseaux d'Electricité : de la solution technique à la construction de business model.” 2019. Web. 06 Mar 2021.
Vancouver:
Borne O. Vehicle-to-grid and flexibility for electricity systems : from technical solutions to design of business models : Vehicle-To-Grid et Flexibilité pour les Réseaux d'Electricité : de la solution technique à la construction de business model. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2019. [cited 2021 Mar 06].
Available from: http://www.theses.fr/2019SACLC023.
Council of Science Editors:
Borne O. Vehicle-to-grid and flexibility for electricity systems : from technical solutions to design of business models : Vehicle-To-Grid et Flexibilité pour les Réseaux d'Electricité : de la solution technique à la construction de business model. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2019. Available from: http://www.theses.fr/2019SACLC023
Linnaeus University
29.
Omareen, Mustafa.
Optimized Integration of Electric Vehicles into the Smart Grid : V2G and Smart Charging Adaptive Algorithm.
Degree: Physics and Electrical Engineering, 2020, Linnaeus University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-99009
► Electric Vehicles (EVs) reduce dependency on oil and carbon emissions. An upsurge in demand for EVs could lead to negative impacts on the grid.…
(more)
▼ Electric Vehicles (EVs) reduce dependency on oil and carbon emissions. An upsurge in demand for EVs could lead to negative impacts on the grid. However, charging strategies, such as supporting the grid using vehicle-to-grid (V2G) and smart charging technology, can go a long way to reducing the impacts on the electrical load curve. The thesis presents a number of aspects which relate to the interconnection between EVs and the electric grid for achieving an optimized integration. An adaptive algorithm has been developed to perform load peak shaving by V2G and smart charging, while a hypothetical case study containing several types of EVs in a local grid has been conducted. The aim is to examine the developed algorithm. In conclusion, by using the adaptive algorithm, written in C++, an optimum status has been achieved concerning the electric grid and EV batteries.
Subjects/Keywords: electric vehicles; smart grid; smart charging; V2G; Electrical Engineering, Electronic Engineering, Information Engineering; Elektroteknik och elektronik
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Omareen, M. (2020). Optimized Integration of Electric Vehicles into the Smart Grid : V2G and Smart Charging Adaptive Algorithm. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-99009
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Omareen, Mustafa. “Optimized Integration of Electric Vehicles into the Smart Grid : V2G and Smart Charging Adaptive Algorithm.” 2020. Thesis, Linnaeus University. Accessed March 06, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-99009.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Omareen, Mustafa. “Optimized Integration of Electric Vehicles into the Smart Grid : V2G and Smart Charging Adaptive Algorithm.” 2020. Web. 06 Mar 2021.
Vancouver:
Omareen M. Optimized Integration of Electric Vehicles into the Smart Grid : V2G and Smart Charging Adaptive Algorithm. [Internet] [Thesis]. Linnaeus University; 2020. [cited 2021 Mar 06].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-99009.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Omareen M. Optimized Integration of Electric Vehicles into the Smart Grid : V2G and Smart Charging Adaptive Algorithm. [Thesis]. Linnaeus University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-99009
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Universitetet i Tromsø
30.
Tahir, Moez.
Electric vehicles and vehicle-to-grid technology. How utilities can play a role
.
Degree: 2017, Universitetet i Tromsø
URL: http://hdl.handle.net/10037/11358
► Adverse effects of fossil fuel burning internal combustion engine vehicles has alarmed nations worldwide. With recent technological advancements in electric vehicle industry, governments throughout the…
(more)
▼ Adverse effects of fossil fuel burning internal combustion engine vehicles has alarmed nations worldwide. With recent technological advancements in electric vehicle industry, governments throughout the world are promoting wider adoption of electric vehicles to mitigate environmental issues. However, increasing popularity of electric vehicles will pose a great threat to existing electric grids due to added load of electric vehicles in power systems distribution network. This study provides solution to stabilize electric grid health in the form of two objectives. First, to develop a fast
charging station to reduce consumer anxiety problems related to slow
charging stations. The
charging setup designed in this study caters two issues; one, to charge EV batteries in minimum time and two, provide utilities with active and reactive power support using EV batteries and
charging station, respectively. The second objective of this study is to develop
smart charging strategy for the benefit of electric utilities and EV owners. The approach adopted in this study to develop
smart charging schedule is based on optimization technique to minimize cost of
charging for both, electric utilities and EV owners. This will essentially level utility load throughout the day by providing power to charge EV batteries during off-peak hours, and, on the other hand, utilities will take power from EV batteries for peak power shaving during peak power demand hours of the day. The optimization method adopted in this study is particularly quadratic programming to minimize cost of
charging.
Advisors/Committee Members: Hoff, Bjarte (advisor).
Subjects/Keywords: VDP::Teknologi: 500::Elektrotekniske fag: 540;
VDP::Technology: 500::Electrotechnical disciplines: 540;
Power systems;
Electric Vehicles;
Fast Charging Vehicle-to-Grid;
Optimization;
Smart Charging Schedule
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Tahir, M. (2017). Electric vehicles and vehicle-to-grid technology. How utilities can play a role
. (Masters Thesis). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/11358
Chicago Manual of Style (16th Edition):
Tahir, Moez. “Electric vehicles and vehicle-to-grid technology. How utilities can play a role
.” 2017. Masters Thesis, Universitetet i Tromsø. Accessed March 06, 2021.
http://hdl.handle.net/10037/11358.
MLA Handbook (7th Edition):
Tahir, Moez. “Electric vehicles and vehicle-to-grid technology. How utilities can play a role
.” 2017. Web. 06 Mar 2021.
Vancouver:
Tahir M. Electric vehicles and vehicle-to-grid technology. How utilities can play a role
. [Internet] [Masters thesis]. Universitetet i Tromsø 2017. [cited 2021 Mar 06].
Available from: http://hdl.handle.net/10037/11358.
Council of Science Editors:
Tahir M. Electric vehicles and vehicle-to-grid technology. How utilities can play a role
. [Masters Thesis]. Universitetet i Tromsø 2017. Available from: http://hdl.handle.net/10037/11358
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Open Access Theses and Dissertations