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Delft University of Technology
1.
Lew, Duncan (author).
Integration of V2H/V2G Towards Effective Demand-Response Programs.
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:ab935819-ddca-491d-8977-b9037d6d7859 
► Increasing adoption of EVs in the next few decades is going to present new challenges such as EV charging creating a new and significant demand…
(more)
▼ Increasing adoption of EVs in the next few decades is going to present new challenges such as EV charging creating a new and significant demand on the grid. The purpose of this thesis is to create a system that intelligently schedules the charging of EVs while considering the cost of energy and the discomfort of the user. At any given moment, 90% of vehicles are parked and have a huge energy source left unused. EVs could also be used as power sources for vehicle-to-home/vehicle-to-grid (V2H/V2G) to benefit from them during high demand of energy. This way the power plants would see almost a constant demand and usage, in the long run, making them more efficient. This thesis uses a non-intrusive data-driven technique to create a occu- pancy and EV charging model of the household. Smart meters in each household collect power usage data. From this power usage data we de- termine occupancy and EV charge sessions. The next step is to determine temporal metrics for occupancy and EV charge sessions. The temporal met- rics study the likelihood for occupancy or an EV charge session to occur or to switch from one state to another. Because there are differences between weekday/weekend and seasonal power usage, we have decided to create tem- poral metrics for each time period. The next step is to create the EV charging algorithm and V2H/V2G algorithms. These algorithms require a flexibility window. This window indicates in which hours the EV can be charged. Which hours of the flexib- ility window are chosen, depends on the type of objective. We have created three objectives: cost minimization, comfort maximization and joint object- ive. The V2H/V2G algorithm is executed when the state of charge (SoC) of the EV is higher than the SoC boundary. In order to measure the performance of the algorithm, we have created two metrics: relative savings and miss rate. The miss rate measures how an hour was scheduled for EV charging but failed. During the testing of the algorithm, we found that only the objective cost minimization was deemed useful. Each objective uses a flexibility window and we conclude that the user’s preferences are already taken into account during the creation of this window. For the execution of the EV charge scheduling algorithm, a max- imum relative savings can be achieved of 27% and a maximum miss rate of 11.1%. By choosing the SoC boundary value of 60% for V2H, maximum relative savings of 9.9% and a maximum miss rate of 5.2% can be achieved. V2G execution had a negligible effect on the relative savings and miss rate because the pricing dataset did not contain many price surges.
Embedded Systems
Advisors/Committee Members: Venkatesha Prasad, Ranga Rao (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: V2H; V2G; EV; charging; Algorithm
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APA (6th Edition):
Lew, D. (. (2017). Integration of V2H/V2G Towards Effective Demand-Response Programs. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ab935819-ddca-491d-8977-b9037d6d7859
Chicago Manual of Style (16th Edition):
Lew, Duncan (author). “Integration of V2H/V2G Towards Effective Demand-Response Programs.” 2017. Masters Thesis, Delft University of Technology. Accessed March 05, 2021.
http://resolver.tudelft.nl/uuid:ab935819-ddca-491d-8977-b9037d6d7859.
MLA Handbook (7th Edition):
Lew, Duncan (author). “Integration of V2H/V2G Towards Effective Demand-Response Programs.” 2017. Web. 05 Mar 2021.
Vancouver:
Lew D(. Integration of V2H/V2G Towards Effective Demand-Response Programs. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 05].
Available from: http://resolver.tudelft.nl/uuid:ab935819-ddca-491d-8977-b9037d6d7859.
Council of Science Editors:
Lew D(. Integration of V2H/V2G Towards Effective Demand-Response Programs. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:ab935819-ddca-491d-8977-b9037d6d7859
Delft University of Technology
2.
Sturmans, Simon (author).
Using Electric Vehicles to Store Solar Energy: The Spatial Distribution Problem: A quantitative analysis on the effects of the spatial distribution of solar panels and electric vehicles on the cost-effectiveness of the Vehicle-2-Home concept.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:b9e0db37-97a1-4c7a-aa9f-09514ca49438
► Vehicle-2-Home (V2H) is a concept in which an electric vehicle (EV) is able to charge and discharge its battery pack to the building it is…
(more)
▼ Vehicle-2-Home (
V2H) is a concept in which an electric vehicle (EV) is able to charge and discharge its battery pack to the building it is connected to. This concept enables EVs to store surplus solar energy, which is produced during the daytime and return in to buildings during the night time. For this system to work (cost) efficiently, the EVs location during the day must match the location of surplus solar energy. Also, at night, the EVs must discharge this electricity evenly over an area to reduce the strain on the electricity distribution grid. This thesis has analysed whether there exists a match between the spatial distribution of solar panels and EVs in the Amsterdam region under growth scenarios until 2040.
Advisors/Committee Members: Annema, Jan Anne (mentor), Lukszo, Zofia (graduation committee), Farahani, Samira S. (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: V2H; Spatial distribution; Solar energy; Electric vehicles; Case study; Cost analysis
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APA (6th Edition):
Sturmans, S. (. (2019). Using Electric Vehicles to Store Solar Energy: The Spatial Distribution Problem: A quantitative analysis on the effects of the spatial distribution of solar panels and electric vehicles on the cost-effectiveness of the Vehicle-2-Home concept. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:b9e0db37-97a1-4c7a-aa9f-09514ca49438
Chicago Manual of Style (16th Edition):
Sturmans, Simon (author). “Using Electric Vehicles to Store Solar Energy: The Spatial Distribution Problem: A quantitative analysis on the effects of the spatial distribution of solar panels and electric vehicles on the cost-effectiveness of the Vehicle-2-Home concept.” 2019. Masters Thesis, Delft University of Technology. Accessed March 05, 2021.
http://resolver.tudelft.nl/uuid:b9e0db37-97a1-4c7a-aa9f-09514ca49438.
MLA Handbook (7th Edition):
Sturmans, Simon (author). “Using Electric Vehicles to Store Solar Energy: The Spatial Distribution Problem: A quantitative analysis on the effects of the spatial distribution of solar panels and electric vehicles on the cost-effectiveness of the Vehicle-2-Home concept.” 2019. Web. 05 Mar 2021.
Vancouver:
Sturmans S(. Using Electric Vehicles to Store Solar Energy: The Spatial Distribution Problem: A quantitative analysis on the effects of the spatial distribution of solar panels and electric vehicles on the cost-effectiveness of the Vehicle-2-Home concept. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 05].
Available from: http://resolver.tudelft.nl/uuid:b9e0db37-97a1-4c7a-aa9f-09514ca49438.
Council of Science Editors:
Sturmans S(. Using Electric Vehicles to Store Solar Energy: The Spatial Distribution Problem: A quantitative analysis on the effects of the spatial distribution of solar panels and electric vehicles on the cost-effectiveness of the Vehicle-2-Home concept. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:b9e0db37-97a1-4c7a-aa9f-09514ca49438
University of Texas – Austin
3.
-6151-0678.
Plug-in electric vehicle deployment and integration with the electric grid.
Degree: PhD, Electrical and Computer Engineering, 2015, University of Texas – Austin
URL: http://hdl.handle.net/2152/32852
► Key battery, semiconductor, and software technologies have sufficiently progressed over the past few decades to enable viable plug-in electric vehicle (PEV) alternatives to conventional vehicles.…
(more)
▼ Key battery, semiconductor, and software technologies have sufficiently progressed over the past few decades to enable viable plug-in electric vehicle (PEV) alternatives to conventional vehicles. Alternatives to petroleum-based fuels for transportation are sought to address concerns over energy security, foreign oil derived U.S. trade deficits, oil related geopolitical entanglements, and emissions. The various types of PEVs have substantially different characteristics. The types and key attributes of PEVs, charging standards, and charging locations are described. The likely scenario for PEV-Grid interactions over the next decade is synthesized from the analysis of the technologies available to and circumstances of vehicle manufacturers, utilities, and supplier firms. PEV adoption considerations are evolving. Many lessons have been learned from the first generation of PEVs that were introduced starting in late 2010. Technology, market, and policy drivers of emerging trends in the diffusion of PEVs are explored more in-depth. PEVs as electric loads are unique in that they are large, flexible, and intelligent. These attributes can not only provide utilities a new source of revenue, but also improve grid stability and economics. Actions, technologies, and policies that utilities can deploy to increase adoption are discussed. Actions are explored to make the overall PEV ownership experience superior to a conventional vehicle. This dissertation also describes research of the capability for PEVs in Vehicle to Home (
V2H) scenarios, where the vehicle acts as a residential battery storage system and/or a backup generator in a residential microgrid configuration during a grid outage. Residential energy data collected from a smart grid testbed is used with a custom PEV model to assess the performance (in terms of duration and power output) of a BEV or PHEV used for backup power. Our earlier results quantify the extent to which photovoltaic (PV) generation and the characteristics of a PEV (battery size, gasoline availability) affect the backup duration during an electric grid outage. Strategies to further increase backup duration and non-continuous self-sustaining off-grid alternatives were found in our early
V2H research. Varied amounts of load curtailment and PHEV engine-generator control improvements are modeled in subsequent research.
Advisors/Committee Members: Baldick, Ross (advisor), Santoso, Surya (committee member), Dodabalapur, Ananth (committee member), Edgar, Thomas F (committee member), Webber, Michael (committee member), Kwasinski, Alexis (committee member).
Subjects/Keywords: Plug-in electric vehicle; PEV; EV; BEV; PHEV; V2H; G2V
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APA (6th Edition):
-6151-0678. (2015). Plug-in electric vehicle deployment and integration with the electric grid. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32852
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Chicago Manual of Style (16th Edition):
-6151-0678. “Plug-in electric vehicle deployment and integration with the electric grid.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed March 05, 2021.
http://hdl.handle.net/2152/32852.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
MLA Handbook (7th Edition):
-6151-0678. “Plug-in electric vehicle deployment and integration with the electric grid.” 2015. Web. 05 Mar 2021.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Vancouver:
-6151-0678. Plug-in electric vehicle deployment and integration with the electric grid. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Mar 05].
Available from: http://hdl.handle.net/2152/32852.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Council of Science Editors:
-6151-0678. Plug-in electric vehicle deployment and integration with the electric grid. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32852
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Delft University of Technology
4.
Wahid, Markos (author).
Comparing electric vehicle charging strategies in stochastic microgrid optimization.
Degree: 2019, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:386aaa63-54f7-446e-8cde-68e74df5d0cc
► Renewable energy sources, e.g. solar energy and wind energy, have gained popularity as an alternative means of energy production as they do not reinforce global…
(more)
▼ Renewable energy sources, e.g. solar energy and wind energy, have gained popularity as an alternative means of energy production as they do not reinforce global warming. In addition, more and more electrical appliances (e.g. electric vehicles, induction cookers, and heat pumps) are used as a substitute for appliances that need non-renewable energy sources. This increase in the use of renewable energy resources pushes the electricity grid to its limits due to new induced load peaks. The grid is not designed for these developments and as a result, asset deterioration, higher transport losses, and outages are expected to occur. The most straightforward solution for the distributed system operator, i.e. the operating manager of the distribution network, is to expand the grid. However, grid expansion is a costly operation and there are additional promising methods to decrease grid load peaks, e.g. by using different charging strategies for electric vehicles. The conventional charging strategy for electric vehicles is uncontrolled charging. With uncontrolled charging, the charging of the electric vehicle immediately commences once a connection with the charging pole is established. The smart charging strategy, however, is able to delay the charging moment to a more optimal time instant in view of, e.g. variable electricity prices. The vehicle-to-home (
V2H) charging strategy is similar to smart charging, but in addition, the
V2H strategy allows the electric vehicle to discharge electricity to power a nearby residential home. This research aims to compare smart charging and
V2H charging on their economical effects for their users. The charging strategies are implemented using two control algorithms: a rule-based controller and a model predictive control (MPC) algorithm. The rule-based controller is implemented due to its simplicity and the MPC algorithm is used for its ability to take into account predictions of system related variables, e.g. household loads. The MPC algorithm is implemented with two different forecasts namely, perfect information, i.e. uncertain variables are forecasted perfectly, and certainty equivalent, i.e. uncertain variables are predicted using a persistence forecast model. The persistence forecast model assumes that the future values of an uncertain variable remain equal to the latest measurements, e.g. the solar generation of tomorrow is expected to be equal to that of today. The control problem is non-linear as an electric vehicle behaves differently depending on its status, e.g. driving or charging. The control problem is therefore reformulated into a mixed logical dynamical framework such that it can be solved efficiently using mixed integer linear programming. An extensive comparison in performance for a microgrid case study is done using real data of solar generation, electric vehicles, and household loads for simulation. The results show that the
V2H charging strategy can outperform smart charging by reducing both the peak loads and the electricity costs. However, the
V2H strategy only gives a…
Advisors/Committee Members: Pippia, Tomas (mentor), De Schutter, Bart (graduation committee), van Voorden, Arjan (mentor), Cvetkovic, Milos (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Microgrid; MPC; Scenario-based MPC; V2H; Smart Charging; scenario generation; persistence forcast model; EV; Mixed Logical Dynamical Model
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APA ·
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APA (6th Edition):
Wahid, M. (. (2019). Comparing electric vehicle charging strategies in stochastic microgrid optimization. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:386aaa63-54f7-446e-8cde-68e74df5d0cc
Chicago Manual of Style (16th Edition):
Wahid, Markos (author). “Comparing electric vehicle charging strategies in stochastic microgrid optimization.” 2019. Masters Thesis, Delft University of Technology. Accessed March 05, 2021.
http://resolver.tudelft.nl/uuid:386aaa63-54f7-446e-8cde-68e74df5d0cc.
MLA Handbook (7th Edition):
Wahid, Markos (author). “Comparing electric vehicle charging strategies in stochastic microgrid optimization.” 2019. Web. 05 Mar 2021.
Vancouver:
Wahid M(. Comparing electric vehicle charging strategies in stochastic microgrid optimization. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2021 Mar 05].
Available from: http://resolver.tudelft.nl/uuid:386aaa63-54f7-446e-8cde-68e74df5d0cc.
Council of Science Editors:
Wahid M(. Comparing electric vehicle charging strategies in stochastic microgrid optimization. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:386aaa63-54f7-446e-8cde-68e74df5d0cc
5.
-8948-6216.
Study on house-level microgrids and their power electronics.
Degree: MSin Engineering, Electrical and Computer Engineering, 2017, University of Texas – Austin
URL: http://hdl.handle.net/2152/62911
► This thesis introduces the concept of microgrid, and analyzes the capability for Plug-in Electric Vehicles (PHEV) and photovoltaics (PV) to support a residential load during…
(more)
▼ This thesis introduces the concept of microgrid, and analyzes the capability for Plug-in Electric Vehicles (PHEV) and photovoltaics (PV) to support a residential load during the time when the utility grid has a power outage. A microgrid system model is introduced and simulations have demonstrated the performance of this microgrid in a grid outage. The possible power electronics interfaces in this microgrid configuration is investigated and compared. Several power electronics converters are introduced and simulated to realize different forms of power conversion. The system model of a DC-DC buck converter is formed, and a possible frequency compensator has been designed and simulated for it. This thesis has introduced the feasibility of a house-level microgrid in its theoretical backup performances, hardware implementations and control.
Advisors/Committee Members: Baldick, Ross (advisor), Santoso, Surya (committee member).
Subjects/Keywords: Microgrid; PHEV; V2H; Power electronics; Frequency compensator
…Chapter 5 Power Electronics Control in V2H System… …19
Figure 9. V2H backup duration throughout a year… …22
Figure 13. Simple representation of a typical V2H microgrid… …author of [7] has modeled a Vehicle-to-Home(V2H) system composed of a
PHEV… …some key power electronics interfaces and control
algorithms needed for a V2H system. In the…
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APA ·
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MLA ·
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CSE |
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
-8948-6216. (2017). Study on house-level microgrids and their power electronics. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62911
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Chicago Manual of Style (16th Edition):
-8948-6216. “Study on house-level microgrids and their power electronics.” 2017. Masters Thesis, University of Texas – Austin. Accessed March 05, 2021.
http://hdl.handle.net/2152/62911.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
MLA Handbook (7th Edition):
-8948-6216. “Study on house-level microgrids and their power electronics.” 2017. Web. 05 Mar 2021.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Vancouver:
-8948-6216. Study on house-level microgrids and their power electronics. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2021 Mar 05].
Available from: http://hdl.handle.net/2152/62911.
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Council of Science Editors:
-8948-6216. Study on house-level microgrids and their power electronics. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62911
Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
6.
Ajao, Adetokunbo.
Intelligent Home Energy Management Systems for Distributed Renewable Generators, Dispatchable Residential Loads and Distribted Energy Storage Devices.
Degree: MSin Engineering, College of Engineering and Computer Science, 2017, University of Michigan
URL: http://hdl.handle.net/2027.42/138102
► The high demand for electricity and the consequent increase in electricity price as lead to recentstudy in reducingthe total operating cost of a residential building.…
(more)
▼ The high demand for electricity and the consequent increase in electricity price as lead to recentstudy in reducingthe total operating cost of a residential building. This research work focuson energy management in a residential green house.Two innovative approach is proposed to solve excessiveoperating cost of a residential green house, the system inputs which consist of temperature, activity level, and energyconsumption is based on five household occupant in Atlanta, Georgia, also a Chevy volt of 16kWh is used in the case studies.Moreover, for a single residential house, the overall goal is to reduce the total operating costs and the carbon emissions for a future residential house, while satisfying the end-users’ comfort levels. This paper models a wide variety of home appliances and formulates the economic operation problem using mixed integer linear programming. Case studies are performed to validate and demonstrate the effectiveness of the proposed solution algorithm. Simulation results also show the positive impact of dispatchable loads, distributed renewable generators, and distributed energy storage devices on a future residential house.For networked residential houses, we present an optimization of total operating cost of an interconnected nanogrid (ING) considering the effect of
V2H andV2G, which helps tominimizethe total operating cost. The major objective is to reduce carbon emission, total operating cost and the peak load demand while satisfying the customer preferences of each nanogrid. A mixed integer linear program (MILP) is formulated to solve the economic operation of the ING. Furthermore, case studies are performed to demonstrate the positive impact INGs have on minimizing total operating cost.
Advisors/Committee Members: Su, Wencong (advisor), Niewstadt, Lin Van (committee member), Bai, Kevin (committee member).
Subjects/Keywords: Vehicle to Home (V2H); Renewable energy; Vehicle to Grid (V2G); Demand Response; Distributed Energy Storage Device (DESD); Electrical Engineering
…x29; considering the effect of V2H and V2G, which helps to minimize
the total operating cost… …renewable energy, demand response,
vehicle-to- home (V2H), vehicle-to-grid (V2G…
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ajao, A. (2017). Intelligent Home Energy Management Systems for Distributed Renewable Generators, Dispatchable Residential Loads and Distribted Energy Storage Devices. (Masters Thesis). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138102
Chicago Manual of Style (16th Edition):
Ajao, Adetokunbo. “Intelligent Home Energy Management Systems for Distributed Renewable Generators, Dispatchable Residential Loads and Distribted Energy Storage Devices.” 2017. Masters Thesis, University of Michigan. Accessed March 05, 2021.
http://hdl.handle.net/2027.42/138102.
MLA Handbook (7th Edition):
Ajao, Adetokunbo. “Intelligent Home Energy Management Systems for Distributed Renewable Generators, Dispatchable Residential Loads and Distribted Energy Storage Devices.” 2017. Web. 05 Mar 2021.
Vancouver:
Ajao A. Intelligent Home Energy Management Systems for Distributed Renewable Generators, Dispatchable Residential Loads and Distribted Energy Storage Devices. [Internet] [Masters thesis]. University of Michigan; 2017. [cited 2021 Mar 05].
Available from: http://hdl.handle.net/2027.42/138102.
Council of Science Editors:
Ajao A. Intelligent Home Energy Management Systems for Distributed Renewable Generators, Dispatchable Residential Loads and Distribted Energy Storage Devices. [Masters Thesis]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138102
. 
Open Access Theses and Dissertations
