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Colorado State University
1.
Jain, Abhishek.
Synchronized real-time simulation of distributed networked controls for a power system case study.
Degree: MS(M.S.), Electrical and Computer Engineering, 2013, Colorado State University
URL: http://hdl.handle.net/10217/81028
► The purpose of this study is to develop and implement a distributed networked control framework for a power system simulation. The study addresses and improves…
(more)
▼ The purpose of this study is to develop and implement a distributed networked control framework for a power system simulation. The study addresses and improves upon speed and accuracy of simulation for computationally intensive power system dynamic simulations and distributed control utilizing Hardware-In-Loop (HIL) simulations. A dynamic four bus test-case microgrid simulation is constructed using SimPowerSystems™ toolbox of Matlab™ with renewable energy penetration. Parallel processing is achieved using a discrete real-time simulator Opal-RT by distributing the computation among its various processors and thus achieving real-time performance. Maximum power point tracking (MPPT) controls for various photo-voltaic (PV) systems are distributed among external simulation platforms with the use of a client-server communication architecture and application layer messaging network protocols. The various networked platforms implementing control algorithms include general purpose and data-flow graphical programming languages. The solar irradiance profile for various PV systems is generated from an external spreadsheet data source as another networked module. Also included in the communication network is a commercial off-the-shelf (COTS) controller - a substation automation platform OrionLX which is used for supervisory control of the various relays in the microgrid feeder simulation. Finally, a case study is presented which involves all of the above mentioned components - MPPT control and irradiance profile generation for PV systems as well as fault isolation in a microgrid using HIL supervisory relay control - as distributed elements of a communication network with the real-time server. Modbus TCP/IP is used as the networking protocol while the networked control platforms are developed in C# and Simulink™ programming languages. Performance and bandwidth of the interdisciplinary system are analyzed. From the results of this study, it is concluded that the combination of a parallel processing and distributed control approach can be an effective strategy for improving dynamic power system simulations.
Advisors/Committee Members: Young, Peter (advisor), Zimmerle, Daniel (committee member), Suryanarayanan, Siddharth (committee member).
Subjects/Keywords: distributed networked controls; real-time simulation; power systems
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APA (6th Edition):
Jain, A. (2013). Synchronized real-time simulation of distributed networked controls for a power system case study. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/81028
Chicago Manual of Style (16th Edition):
Jain, Abhishek. “Synchronized real-time simulation of distributed networked controls for a power system case study.” 2013. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/81028.
MLA Handbook (7th Edition):
Jain, Abhishek. “Synchronized real-time simulation of distributed networked controls for a power system case study.” 2013. Web. 07 Mar 2021.
Vancouver:
Jain A. Synchronized real-time simulation of distributed networked controls for a power system case study. [Internet] [Masters thesis]. Colorado State University; 2013. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/81028.
Council of Science Editors:
Jain A. Synchronized real-time simulation of distributed networked controls for a power system case study. [Masters Thesis]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/81028

Colorado State University
2.
Almohaimeed, Sulaiman.
Steady-state analysis of the impact of climate change on distribution transformer.
Degree: MS(M.S.), Electrical and Computer Engineering, 2016, Colorado State University
URL: http://hdl.handle.net/10217/176628
► Climate change could cause several issues such as decreasing water availability, increasing intensity of storm events, flooding and sea level rise, increasing air, and water…
(more)
▼ Climate change could cause several issues such as decreasing water availability, increasing intensity of storm events, flooding and sea level rise, increasing air, and water temperatures. One aspect of climate change is the increase in ambient temperature. According to, the average global surface temperature is expected to increase around 1.8°C to 4°C, while the average increase of global ambient temperature is predicted from 1.4°C to 5.8°C, in the periods of 1990 to 2100. Climate change can also affect distribution systems in terms of reliability and loadability. A 1°C rise in global temperature increases peak demand by 4.6%. In 2013, U.S. weather–related power outages may have reached 180 events per year. Further, climate change leads to high temperature, and many factors might change. An increase in ambient temperature leads to increase in transformer loading, which leads to a reduction of lifetime of transformers and low insulation value due to degradation of degree of polymerization. As ambient temperature and operation temperature increase can cause thermal aging of transformers, it is important to control a loaded transformer to mitigate aging effect. Thus, demand response is an important and effective feature of thermal management of a transformer. Multiple models are discussed and explained to obtain accurate results and a good prediction for the three factors: ambient temperature, operation temperature, and demand response. Therefore, IEEE standard C57.91-2011 is used for calculating thermal characteristics and the loss of life of distribution transformers. It also provides an example using rated parameters of a 25 MVA distribution transformer, real data of temperature, load available in the public domain for Fort Collins,
Colorado, USA. Moreover, demand response is considered in this calculation in order to study the effect of changing load levels on the transformer insulation life and aging acceleration factor. Four scenarios of load levels will be applied as follow: pre-DR, 3%, 6% and 9% peak load reduction.
Advisors/Committee Members: Suryanarayanan, Siddharth (advisor), Collins, George (committee member), Zimmerle, Daniel (committee member).
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APA (6th Edition):
Almohaimeed, S. (2016). Steady-state analysis of the impact of climate change on distribution transformer. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/176628
Chicago Manual of Style (16th Edition):
Almohaimeed, Sulaiman. “Steady-state analysis of the impact of climate change on distribution transformer.” 2016. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/176628.
MLA Handbook (7th Edition):
Almohaimeed, Sulaiman. “Steady-state analysis of the impact of climate change on distribution transformer.” 2016. Web. 07 Mar 2021.
Vancouver:
Almohaimeed S. Steady-state analysis of the impact of climate change on distribution transformer. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/176628.
Council of Science Editors:
Almohaimeed S. Steady-state analysis of the impact of climate change on distribution transformer. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176628

Colorado State University
3.
Panwar, Mayank.
Reliability quantification and visualization for electric microgrids.
Degree: MS(M.S.), Electrical and Computer Engineering, 2012, Colorado State University
URL: http://hdl.handle.net/10217/74541
► The electric grid in the United States is undergoing modernization from the state of an aging infrastructure of the past to a more robust and…
(more)
▼ The electric grid in the United States is undergoing modernization from the
state of an aging infrastructure of the past to a more robust and reliable power system of the future. The primary efforts in this direction have come from the federal government through the American Recovery and Reinvestment Act of 2009 (Recovery Act). This has provided the U.S. Department of Energy (DOE) with 4.5 billion to develop and implement programs through DOE's Office of Electricity Delivery and Energy Reliability (OE) over the a period of 5 years (2008-2012). This was initially a part of Title XIII of the Energy Independence and Security Act of 2007 (EISA) which was later modified by Recovery Act. As a part of DOE's Smart Grid Programs, Smart Grid Investment Grants (SGIG), and Smart Grid Demonstration Projects (SGDP) were developed as two of the largest programs with federal grants of 3.4 billion and 600 million respectively. The Renewable and Distributed Systems Integration (RDSI) demonstration projects were launched in 2008 with the aim of reducing peak electricity demand by 15 percent at distribution feeders. Nine such projects were competitively selected located around the nation. The City of Fort Collins in co-operative partnership with other federal and commercial entities was identified to research, develop and demonstrate a 3.5MW integrated mix of heterogeneous distributed energy resources (DER) to reduce peak load on two feeders by 20-30 percent. This project was called FortZED RDSI and provided an opportunity to demonstrate integrated operation of group of assets including demand response (DR), as a single controllable entity which is often called a microgrid. As per IEEE Standard 1547.4-2011 (IEEE Guide for Design, Operation, and Integration of Distributed Resource Island Systems with Electric Power Systems), a microgrid can be defined as an electric power system which has following characteristics: (1) DR and load are present, (2) has the ability to disconnect from and parallel with the area Electric Power Systems (EPS), (3) includes the local EPS and may include portions of the area EPS, and (4) is intentionally planned. A more reliable electric power grid requires microgrids to operate in tandem with the EPS. The reliability can be quantified through various metrics for performance measure. This is done through North American Electric Reliability Corporation (NERC) metrics in North America. The microgrid differs significantly from the traditional EPS, especially at asset level due to heterogeneity in assets. Thus, the performance cannot be quantified by the same metrics as used for EPS. Some of the NERC metrics are calculated and interpreted in this work to quantify performance for a single asset and group of assets in a microgrid. Two more metrics are introduced for system level performance quantification. The next step is a better representation of the large amount of data generated by the microgrid. Visualization is one such form of representation which is explored in detail and a graphical user interface (GUI)…
Advisors/Committee Members: Suryanarayanan, Siddharth (advisor), Zimmerle, Daniel (committee member), Yang, Liuqing (committee member).
Subjects/Keywords: data analysis; electric power system; microgrid; reliability; smartgrid; visualization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Panwar, M. (2012). Reliability quantification and visualization for electric microgrids. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/74541
Chicago Manual of Style (16th Edition):
Panwar, Mayank. “Reliability quantification and visualization for electric microgrids.” 2012. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/74541.
MLA Handbook (7th Edition):
Panwar, Mayank. “Reliability quantification and visualization for electric microgrids.” 2012. Web. 07 Mar 2021.
Vancouver:
Panwar M. Reliability quantification and visualization for electric microgrids. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/74541.
Council of Science Editors:
Panwar M. Reliability quantification and visualization for electric microgrids. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/74541

Colorado State University
4.
Trabing, Benjamin.
Impact of upper tropospheric temperatures and radiation on idealized tropical cyclones, The.
Degree: MS(M.S.), Atmospheric Science, 2018, Colorado State University
URL: http://hdl.handle.net/10217/191282
► Potential intensity (PI) theory predicts that the tropopause temperature acts as a powerful constraint on tropical cyclone (TC) intensity and structure. The physical mechanisms by…
(more)
▼ Potential intensity (PI) theory predicts that the tropopause temperature acts as a powerful constraint on tropical cyclone (TC) intensity and structure. The physical mechanisms by which the upper tropospheric thermal structure and radiative forcing impact TC intensity and structure have not been fully explored however, due in part to limited observations and the complex interactions between clouds, radiation, and storm dynamics. Idealized Weather Research and Forecasting (WRF) ensembles were conducted using a combination of three different tropopause temperatures (196, 199, and 202 K) with different radiation schemes (full diurnal radiation, longwave only, and no radiation) on weather timescales. The simulated TC intensity and structure were strongly sensitive to colder tropopause temperatures using only longwave radiation, but were less sensitive using full-radiation and no radiation. The maximum intensity of the longwave only simulations were more sensitive to small boundary layer moisture perturbations in the initial conditions. Colder tropopause temperatures resulted in deeper convection, increased ice mass aloft, and when radiation was included more intense storms on average. Deeper convection led to increased local longwave cooling rates but reduced top of atmosphere outgoing longwave radiation, such that from a Carnot engine perspective, the radiative heat sink is reduced in the stronger storms. It is hypothesized that a balanced response in the secondary circulation described by the Eliassen equation arises from upper troposphere radiative cooling/heating anomalies that leads to stronger tangential winds. The results of this study further suggest that cloud-radiative feedbacks have a non-negligible impact on weather timescales.
Advisors/Committee Members: Bell, Michael (advisor), Chiu, Christine (committee member), Suryanarayanan, Siddharth (committee member).
Subjects/Keywords: radiation; upper troposphere; tropical cyclones; potential intensity
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Trabing, B. (2018). Impact of upper tropospheric temperatures and radiation on idealized tropical cyclones, The. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/191282
Chicago Manual of Style (16th Edition):
Trabing, Benjamin. “Impact of upper tropospheric temperatures and radiation on idealized tropical cyclones, The.” 2018. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/191282.
MLA Handbook (7th Edition):
Trabing, Benjamin. “Impact of upper tropospheric temperatures and radiation on idealized tropical cyclones, The.” 2018. Web. 07 Mar 2021.
Vancouver:
Trabing B. Impact of upper tropospheric temperatures and radiation on idealized tropical cyclones, The. [Internet] [Masters thesis]. Colorado State University; 2018. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/191282.
Council of Science Editors:
Trabing B. Impact of upper tropospheric temperatures and radiation on idealized tropical cyclones, The. [Masters Thesis]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191282

Colorado State University
5.
Eldali, Fathalla.
Comparative study between vector control and direct torque control of induction motor using MATLAB Simulink.
Degree: MS(M.S.), Electrical and Computer Engineering, 2012, Colorado State University
URL: http://hdl.handle.net/10217/71634
► This thesis project studies and compares two of the most commonly used electric driving methods of induction motors (IM). These methods, which have been used…
(more)
▼ This thesis project studies and compares two of the most commonly used electric driving methods of induction motors (IM). These methods, which have been used for three decayed are Field Orientation Control (FOC) and Direct Torque Control (DTC). Theoretical background for both methods is explained. Due to its simplicity of use, MATLAB/ SIMULINK is used to simulate the dynamic model of (IM) and applying both techniques on it. The comparative study of speed, torque, and flux is performed under two cases which are the normal operation and in the presence of voltage-sag and short interruption.
Advisors/Committee Members: Collins, George J. (advisor), Suryanarayanan, Siddharth (committee member), Sakurai, Hiroshi (committee member).
Subjects/Keywords: DTC; induction motor; FOC; electric motor drives
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Eldali, F. (2012). Comparative study between vector control and direct torque control of induction motor using MATLAB Simulink. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/71634
Chicago Manual of Style (16th Edition):
Eldali, Fathalla. “Comparative study between vector control and direct torque control of induction motor using MATLAB Simulink.” 2012. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/71634.
MLA Handbook (7th Edition):
Eldali, Fathalla. “Comparative study between vector control and direct torque control of induction motor using MATLAB Simulink.” 2012. Web. 07 Mar 2021.
Vancouver:
Eldali F. Comparative study between vector control and direct torque control of induction motor using MATLAB Simulink. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/71634.
Council of Science Editors:
Eldali F. Comparative study between vector control and direct torque control of induction motor using MATLAB Simulink. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/71634

Colorado State University
6.
Altaira, Murad.
Efficiency improvement of three phase squirrel cage induction motor by controlling the applied voltage to the stator using SIMULINK models.
Degree: MS(M.S.), Electrical and Computer Engineering, 2018, Colorado State University
URL: http://hdl.handle.net/10217/189276
► Optimizing the efficiency of three phase squirrel cage induction motors (SCIMs) plays a big role in saving electric energy consumption. The purpose of this thesis…
(more)
▼ Optimizing the efficiency of three phase squirrel cage induction motors (SCIMs) plays a big role in saving electric energy consumption. The purpose of this thesis is to maximize the efficiency of three phase (SCIM) when it runs at speeds greater than the speed at which the efficiency is maximum during normal operation, i.e., rated voltage by decreasing the applied voltage to the stator using MATLAB/SIMULINK. Equivalent circuit and parameter identification of three phase (SCIM) are explained. MATLAB/SIMULINK is employed to identify the motor parameters and to simulate a three phase (SCIM) under different loads. The effect of reducing the voltage on motor characteristics such as the produced torque by the motor, power factor, reactive power, apparent power, output power, rotor speed and magnetizing current is explained.
Advisors/Committee Members: Collins, George J. (advisor), Suryanarayanan, Siddharth (committee member), Ackerson, Christopher (committee member).
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Altaira, M. (2018). Efficiency improvement of three phase squirrel cage induction motor by controlling the applied voltage to the stator using SIMULINK models. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/189276
Chicago Manual of Style (16th Edition):
Altaira, Murad. “Efficiency improvement of three phase squirrel cage induction motor by controlling the applied voltage to the stator using SIMULINK models.” 2018. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/189276.
MLA Handbook (7th Edition):
Altaira, Murad. “Efficiency improvement of three phase squirrel cage induction motor by controlling the applied voltage to the stator using SIMULINK models.” 2018. Web. 07 Mar 2021.
Vancouver:
Altaira M. Efficiency improvement of three phase squirrel cage induction motor by controlling the applied voltage to the stator using SIMULINK models. [Internet] [Masters thesis]. Colorado State University; 2018. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/189276.
Council of Science Editors:
Altaira M. Efficiency improvement of three phase squirrel cage induction motor by controlling the applied voltage to the stator using SIMULINK models. [Masters Thesis]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/189276

Colorado State University
7.
Natarajan, Sudarshan Ananda.
Some aspects of the computational complexity in the design of islanded microgrids, design and analysis of blackstart sequences for a notional microgrid.
Degree: MS(M.S.), Electrical and Computer Engineering, 2012, Colorado State University
URL: http://hdl.handle.net/10217/67893
► The US grid represents more than $1 trillion in assets and serves over 100 million customers. But the grid is an aging system, and was…
(more)
▼ The US grid represents more than $1 trillion in assets and serves over 100 million customers. But the grid is an aging system, and was built as centralized system architecture. The Title XIII of the Energy Independence and Security Act of 2007 outlined the 'Smart Grid Initiative' (SGI) as an official policy for modernization of the United States electricity transmission and distribution system to improve reliability and upgrade infrastructure to meet the ever increasing demand in electricity. The distribution feeder is the final link between the generation units and the end user. Distribution networks were traditionally designed in a radial topology since such configurations resulted in simpler protective schemes. More recently, there has been a renewed focus on distribution feeder reconfiguration. Reconfiguration at the distribution level can be achieved by the use of switches and sectionalizers. This enables portions of the distribution network to be reconfigured dynamically to improve reliability, hence enabling control on the topological structure of the distribution feeder. A related feature is the microgrid, or an islanded distributed resource (DR). The IEEE 1547.4 Standard on 'The guide for design, operation and integration of DR island systems with electric power supply' defines a microgrid as an electric power system that has the following properties: • a local distributed resource and load • the ability to disconnect from and parallel with the area electric power supply • include the local electric power supply and portions of area electric power supply A microgrid is capable of disconnecting from the main grid, on sensing a disturbance on the main grid, to maintain reliable supply of electricity to the constituent end-user loads. In this work, the computational complexity of the design of islanded microgrids by the optimal addition of network feeders in a legacy radial electric distribution system is identified, and a technique to accelerate the process of finding Pareto optimal solutions to the problem is provided. The next part of this thesis models a notional microgrid with blackstart capabilities. Microgrids that cannot continue uninterrupted supply to all local loads on disconnection from main grid are required to follow a sequence for startup which is known as the blackstart sequence. In this work, the various generation resources in the notional microgrid are studied and a blackstart sequence is engineered.
Advisors/Committee Members: Suryanarayanan, Siddharth (advisor), Rajopadhye, Sanjay (advisor), Zimmerle, Dan (committee member), Putkaradze, Vakhtang (committee member).
Subjects/Keywords: distribution feeder reconfiguration; smart grid; power systems; microgrid
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Natarajan, S. A. (2012). Some aspects of the computational complexity in the design of islanded microgrids, design and analysis of blackstart sequences for a notional microgrid. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/67893
Chicago Manual of Style (16th Edition):
Natarajan, Sudarshan Ananda. “Some aspects of the computational complexity in the design of islanded microgrids, design and analysis of blackstart sequences for a notional microgrid.” 2012. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/67893.
MLA Handbook (7th Edition):
Natarajan, Sudarshan Ananda. “Some aspects of the computational complexity in the design of islanded microgrids, design and analysis of blackstart sequences for a notional microgrid.” 2012. Web. 07 Mar 2021.
Vancouver:
Natarajan SA. Some aspects of the computational complexity in the design of islanded microgrids, design and analysis of blackstart sequences for a notional microgrid. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/67893.
Council of Science Editors:
Natarajan SA. Some aspects of the computational complexity in the design of islanded microgrids, design and analysis of blackstart sequences for a notional microgrid. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/67893

Colorado State University
8.
Palchak, David.
Energy management of a university campus utilizing short-term load forecasting with an artificial neural network.
Degree: MS(M.S.), Mechanical Engineering, 2012, Colorado State University
URL: http://hdl.handle.net/10217/70022
► Electrical load forecasting is a tool that has been utilized by distribution designers and operators as a means for resource planning and generation dispatch. The…
(more)
▼ Electrical load forecasting is a tool that has been utilized by distribution designers and operators as a means for resource planning and generation dispatch. The techniques employed in these predictions are proving useful in the growing market of consumer, or end-user, participation in electrical energy consumption. These predictions are based on exogenous variables, such as weather, and time variables, such as day of week and time of day as well as prior energy consumption patterns. The participation of the end-user is a cornerstone of the Smart Grid initiative presented in the Energy Independence and Security Act of 2007, and is being made possible by the emergence of enabling technologies such as advanced metering infrastructure. The optimal application of the data provided by an advanced metering infrastructure is the primary motivation for the work done in this thesis. The methodology for using this data in an energy management scheme that utilizes a short-term load forecast is presented. The objective of this research is to quantify opportunities for a range of energy management and operation cost savings of a
university campus through the use of a forecasted daily electrical load profile. The proposed algorithm for short-term load forecasting is optimized for
Colorado State University's main campus, and utilizes an artificial neural network that accepts weather and time variables as inputs. The performance of the predicted daily electrical load is evaluated using a number of error measurements that seek to quantify the best application of the forecast. The energy management presented utilizes historical electrical load data from the local service provider to optimize the time of day that electrical loads are being managed. Finally, the utilization of forecasts in the presented energy management scenario is evaluated based on cost and energy savings.
Advisors/Committee Members: Bradley, Thomas (advisor), Suryanarayanan, Siddharth (advisor), Zimmerle, Daniel (committee member), Young, Peter (committee member).
Subjects/Keywords: ANN; neural network; load forecasting; energy management
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Palchak, D. (2012). Energy management of a university campus utilizing short-term load forecasting with an artificial neural network. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/70022
Chicago Manual of Style (16th Edition):
Palchak, David. “Energy management of a university campus utilizing short-term load forecasting with an artificial neural network.” 2012. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/70022.
MLA Handbook (7th Edition):
Palchak, David. “Energy management of a university campus utilizing short-term load forecasting with an artificial neural network.” 2012. Web. 07 Mar 2021.
Vancouver:
Palchak D. Energy management of a university campus utilizing short-term load forecasting with an artificial neural network. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/70022.
Council of Science Editors:
Palchak D. Energy management of a university campus utilizing short-term load forecasting with an artificial neural network. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/70022

Colorado State University
9.
Kurtz, Jennifer.
Innovative hydrogen station operation strategies to increase availability and decrease cost.
Degree: PhD, Systems Engineering, 2019, Colorado State University
URL: http://hdl.handle.net/10217/199762
► Major industry, government, and academic teams have recently published visions and objectives for widespread use of hydrogen in order to enable international energy sector goals…
(more)
▼ Major industry, government, and academic teams have recently published visions and objectives for widespread use of hydrogen in order to enable international energy sector goals such as sustainability, affordability, reliability, and security. Many of these visions emphasize the important and highly-scalable use of hydrogen in fuel cell electric cars, trucks, and buses, supported by public hydrogen stations. The hydrogen station is a complicated system composed of various storage, compression, and dispensing sub-systems, with the hydrogen either being delivered via truck or produced on-site. As the number of fuel cell electric vehicles (FCEVs) on roads in the U.S. have increased quickly, the number of hydrogen stations, the amount of hydrogen dispensed, and the importance of their reliability and availability to FCEV drivers has also increased. For example, in California, U.S., the number of public, retail hydrogen stations increased from zero to more than 30 in less than 2 years, and the annual hydrogen dispensed increased from 27,400 kg in 2015 to nearly 105,000 kg in 2016, and more than 913,000 kg in 2018, an increase of nearly 9 times in 2 years for retail stations. So, although government, industry, and academia have studied many aspects of hydrogen infrastructure, much of the published literature does not address hydrogen station operational and system innovations even though FCEV and hydrogen stations have some documented problems with reliability, costs, and maintenance in this early commercialization phase. In general, hydrogen station research and development has lagged behind the intensive development effort that has been allocated to hydrogen FCEVs. Based on this understanding of the field, this research aims to identify whether integrating reliability engineering analysis methods with extensive hydrogen station operation and maintenance datasets can address the key challenge of station reliability and availability. The research includes the investigation and modeling of real-world hydrogen station operation and maintenance. This research first documents and analyzes an extensive dataset of hydrogen station operations to discover the
state-of-the-art of current hydrogen station capabilities, and to identify performance gaps with key criteria like cost, reliability, and safety. Secondly, this research presents a method for predicting future hydrogen demand in order to understand the impact of the proposed station operation strategies on data-driven decision-making for low-impact maintenance scheduling, and optimized control strategies. Finally, based on an analysis indicating the need for improved hydrogen station reliability, the research applies reliability engineering principles to the hydrogen station application through development and evaluation of a prognostic health management system.
Advisors/Committee Members: Bradley, Thomas (advisor), Willson, Bryan (committee member), Suryanarayanan, Siddharth (committee member), Ozbek, Mehmet (committee member).
Subjects/Keywords: demand; hydrogen; station; fueling; availability; reliability
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MLA ·
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APA (6th Edition):
Kurtz, J. (2019). Innovative hydrogen station operation strategies to increase availability and decrease cost. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/199762
Chicago Manual of Style (16th Edition):
Kurtz, Jennifer. “Innovative hydrogen station operation strategies to increase availability and decrease cost.” 2019. Doctoral Dissertation, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/199762.
MLA Handbook (7th Edition):
Kurtz, Jennifer. “Innovative hydrogen station operation strategies to increase availability and decrease cost.” 2019. Web. 07 Mar 2021.
Vancouver:
Kurtz J. Innovative hydrogen station operation strategies to increase availability and decrease cost. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/199762.
Council of Science Editors:
Kurtz J. Innovative hydrogen station operation strategies to increase availability and decrease cost. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/199762

Colorado State University
10.
Giraldez Miner, Julieta.
Customer and system impacts of grid support functions for voltage management strategies.
Degree: PhD, Systems Engineering, 2020, Colorado State University
URL: http://hdl.handle.net/10217/211785
► This document describes modeling techniques and methods to study the impacts to the utility and to the customer of using DERs such as advanced inverters…
(more)
▼ This document describes modeling techniques and methods to study the impacts to the utility and to the customer of using DERs such as advanced inverters to provide voltage support in order to maintain voltage within the recommended voltage limits. For this, a method for accurately representing secondary circuits in distribution feeders is proposed and quasi-static-time series (QSTS) simulation techniques are used to study the impact of advance inverter functions to the utility for managing voltage and to the customer in terms of possible generation curtailment. This dissertation looks at factors in medium and low-voltage circuit topology that drive customer voltages with DERs, and investigates where along the distribution feeder are voltage based advance inverter grid support function most effective. The described modeling techniques and methods have informed policy and regulatory type decisions such as updating DER interconnection tariffs and standards.
Advisors/Committee Members: Suryanarayanan, Siddharth (advisor), Atadero, Rebecca (committee member), Yang, Liuqing (committee member), Young, Peter (committee member), Zimmerle, Daniel (committee member).
Subjects/Keywords: curtailment; power system modeling; advanced inverters; voltage control; distributed energy resources
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Giraldez Miner, J. (2020). Customer and system impacts of grid support functions for voltage management strategies. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/211785
Chicago Manual of Style (16th Edition):
Giraldez Miner, Julieta. “Customer and system impacts of grid support functions for voltage management strategies.” 2020. Doctoral Dissertation, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/211785.
MLA Handbook (7th Edition):
Giraldez Miner, Julieta. “Customer and system impacts of grid support functions for voltage management strategies.” 2020. Web. 07 Mar 2021.
Vancouver:
Giraldez Miner J. Customer and system impacts of grid support functions for voltage management strategies. [Internet] [Doctoral dissertation]. Colorado State University; 2020. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/211785.
Council of Science Editors:
Giraldez Miner J. Customer and system impacts of grid support functions for voltage management strategies. [Doctoral Dissertation]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/211785

Colorado State University
11.
Yao, Hong.
Modeling and design of a current mode control boost converter.
Degree: MS(M.S.), Electrical and Computer Engineering, 2012, Colorado State University
URL: http://hdl.handle.net/10217/75301
► The boost or step up converter produces an undesirable Right-Half Plane Zero (RHPZ) in the small signal analysis of the "Duty Cycle Control to Output…
(more)
▼ The boost or step up converter produces an undesirable Right-Half Plane Zero (RHPZ) in the small signal analysis of the "Duty Cycle Control to Output Voltage" transfer function. It is well documented that the boost converter has the reputation of low-performance and stability is complicated due to the RHPZ which makes Voltage Mode Control (VMC) very hard to implement. Even when Current Mode Control (CMC) is applied in the topology of converters operating in Continuous Conduction Mode (CCM), the current feedback loop becomes unstable if the duty cycle exceeds 0.5 – the instability is known as Subharmonic Oscillation. This research presents the theoretical analysis of the origin of the RHPZ and the modeling of a current mode control boost converter operating in continuous conduction mode. It details how to properly design both the control loop and the compensation loop to maintain the stability of the current-mode regulator. The simulation results and experimental results are given and contrasted based on a 3.5V-5.5V DC input, 12V DC output, and 1.3MHz switch frequency boost converter design
Advisors/Committee Members: Collins, George J. (advisor), Chen, Tom W. (committee member), Suryanarayanan, Siddharth (committee member), Sakurai, Hiroshi (committee member).
Subjects/Keywords: boost; right half plane zero; current mode control; converter
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Yao, H. (2012). Modeling and design of a current mode control boost converter. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/75301
Chicago Manual of Style (16th Edition):
Yao, Hong. “Modeling and design of a current mode control boost converter.” 2012. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/75301.
MLA Handbook (7th Edition):
Yao, Hong. “Modeling and design of a current mode control boost converter.” 2012. Web. 07 Mar 2021.
Vancouver:
Yao H. Modeling and design of a current mode control boost converter. [Internet] [Masters thesis]. Colorado State University; 2012. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/75301.
Council of Science Editors:
Yao H. Modeling and design of a current mode control boost converter. [Masters Thesis]. Colorado State University; 2012. Available from: http://hdl.handle.net/10217/75301

Colorado State University
12.
Mohanpurkar, Manish.
Computation of loop flows in electric grids with high wind energy penetration.
Degree: PhD, Electrical and Computer Engineering, 2013, Colorado State University
URL: http://hdl.handle.net/10217/81399
► In a deregulated electricity market, the financial transmission rights (FTRs) and the bid-sell principle for energy trades are used to determine the expected power flows…
(more)
▼ In a deregulated electricity market, the financial transmission rights (FTRs) and the bid-sell principle for energy trades are used to determine the expected power flows on transmission lines. Expected power flows are calculated by applying the superposition theorem on the approved electronic tags (e-tags). Multiple parallel paths in interconnected networks lead to division of power flows determined by the impedances of the parallel paths and the physical laws of electricity. The actual power flows in the network do not conform to the market expectations leading to unscheduled flows (USF) on transmission lines. USF have historically been estimated and accommodated deterministically for a given set of e-tags. However, wide-area interconnections experience variability and uncertainty due to a significant penetration of wind energy connected at the transmission level, thus imparting a stochastic nature to USF. A linear model, from the literature, has been adopted to model USF using a mathematical artifact called `minor loop flows'. This research develops an automated framework that provides accurate estimates of loop flows suitable for both market and network level accommodation of variable USF. This generic framework will be applicable to any power transmission network with intermittent energy resources. A loop detection algorithm (LDA) based on graph theory is proposed to detect loops in a transmission network of any size. The LDA is formulated as a modification of the A-star (A*) algorithm, the lowest ancestor theorem, and Dijkstra's algorithm. The LDA has an order of complexity of V2, where V is the total number of vertices or buses in the network under consideration. An application of a geographical information systems (GIS) technique has been established to obtain the transmission line layouts. The outcome of the LDA (i.e., minor loops) and line layouts (i.e., azimuth) are processed to compute the incidence matrix of the estimator. The variability due to the penetration of wind energy is accounted in the proposed framework using the probabilistic load flow analysis based on Monte Carlo simulations. Three techniques - ordinary least squares (OLS), analytic ridge regression (RR), and robust regression (M-estimators) - are used to estimate minor loop flows. The estimation techniques adhere to the auto-correction of the quality of estimates in case of ill-conditioning of the incidence matrix. Accuracy of loop flow estimates is highly significant, as they may be used for assigning economic responsibility of USF in electricity markets. Wind power generation companies (WGENCOs) employ forecasting models to participate in the primary electricity markets. Forecasting models used to predict the output of wind power plants are inherently erroneous and hence, their impacts on USF are studied. The impact of forecasting errors associated with the output of wind plants is investigated using the concept of prediction intervals rather than point accurate forecasts. Loop flow estimates corresponding to the prediction…
Advisors/Committee Members: Suryanarayanan, Siddharth (advisor), Yang, Liuqing (committee member), Young, Peter M. (committee member), Zimmerle, Daniel J. (committee member).
Subjects/Keywords: loop flows; wind energy; unscheduled flows; power systems; electricity markets; loop detection algorithm
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mohanpurkar, M. (2013). Computation of loop flows in electric grids with high wind energy penetration. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/81399
Chicago Manual of Style (16th Edition):
Mohanpurkar, Manish. “Computation of loop flows in electric grids with high wind energy penetration.” 2013. Doctoral Dissertation, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/81399.
MLA Handbook (7th Edition):
Mohanpurkar, Manish. “Computation of loop flows in electric grids with high wind energy penetration.” 2013. Web. 07 Mar 2021.
Vancouver:
Mohanpurkar M. Computation of loop flows in electric grids with high wind energy penetration. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/81399.
Council of Science Editors:
Mohanpurkar M. Computation of loop flows in electric grids with high wind energy penetration. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/81399

Colorado State University
13.
Panwar, Mayank.
Operation of electric microgrids under uncertainty.
Degree: PhD, Electrical and Computer Engineering, 2017, Colorado State University
URL: http://hdl.handle.net/10217/181307
► Optimization and decision-making are non-trivial in case of multiple, incommensurable, and conflicting objectives. Decision-making becomes more complicated with uncertainty in inputs. Power system operation with…
(more)
▼ Optimization and decision-making are non-trivial in case of multiple, incommensurable, and conflicting objectives. Decision-making becomes more complicated with uncertainty in inputs. Power system operation with electric microgrids subsumes all of the abovementioned aspects. Centralized decision-making in day-ahead dispatch of microgrids with multiple objectives in a grid-connected mode is addressed from the perspective of a power distribution system operator. Uncertainties in the electrical output of variable distributed energy resources and load demand due to forecasting errors are treated statistically by using empirical distributions. Scenarios for simulation are generated using statistics of actual data for solar and load demand forecast. Kantorovich distance measure is used for scenario reduction to maintain computational tractability of the problem. Discrete compromise programming is used for multi-criteria decision-analysis to obtain non-dominated dispatch solutions without generating a computationally expensive Pareto front. Two step look-ahead dynamic program routine is used for dispatch optimization of dispatchable, non-dispatchable solar, and energy storage asset. New performance metrics are developed for reserve management in microgrids using North American Electric Reliability Corporation (NERC) metrics and some previously developed metrics by this researcher. The economic dispatch problem is formulated as a constrained optimization problem with the new metric for reserve as a constraint. Optimization programs are implemented using MATLAB® and power system simulations are performed on standard IEEE 13-node test distribution feeder using the real-time simulation platform—RTDS®. Some potential future developments and applications of performance metrics are presented as future work.
Advisors/Committee Members: Suryanarayanan, Siddharth (advisor), Chakraborty, Sudipta (committee member), Hovsapian, Rob O. (committee member), Young, Peter M. (committee member), Zimmerle, Daniel J. (committee member).
Subjects/Keywords: dispatch; microgrids; uncertainty; metrics; decision making; optimization
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Panwar, M. (2017). Operation of electric microgrids under uncertainty. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/181307
Chicago Manual of Style (16th Edition):
Panwar, Mayank. “Operation of electric microgrids under uncertainty.” 2017. Doctoral Dissertation, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/181307.
MLA Handbook (7th Edition):
Panwar, Mayank. “Operation of electric microgrids under uncertainty.” 2017. Web. 07 Mar 2021.
Vancouver:
Panwar M. Operation of electric microgrids under uncertainty. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/181307.
Council of Science Editors:
Panwar M. Operation of electric microgrids under uncertainty. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181307

Colorado State University
14.
Hansen, Timothy M.
Resource allocation optimization in the smart grid and high-performance computing.
Degree: PhD, Electrical and Computer Engineering, 2015, Colorado State University
URL: http://hdl.handle.net/10217/167096
► This dissertation examines resource allocation optimization in the areas of Smart Grid and high-performance computing (HPC). The primary focus of this work is resource allocation…
(more)
▼ This dissertation examines resource allocation optimization in the areas of Smart Grid and high-performance computing (HPC). The primary focus of this work is resource allocation related to Smart Grid, particularly in the areas of aggregated demand response (DR) and demand side management (DSM). Towards that goal, a framework for heuristic optimization for DR in the Smart Grid is designed. The optimization problem, denoted Smart Grid resource allocation (SGRA), controls a large set of individual customer assets (e.g., smart appliances) to enact a beneficial change on the electric power system (e.g., peak load reduction). In one part of this dissertation, the SGRA heuristic framework uses a proposed aggregator-based approach. The aggregator is a for-profit entity that uses information about customers' smart appliances to create a schedule that maximizes its profit. To motivate the customers to participate with the aggregator, the aggregator offers a reduced rate of electricity called customer incentive pricing (CIP). A genetic algorithm is used to find a smart appliance schedule and CIP to maximize aggregator profit. By optimizing for aggregator profit, the peak load of the system is also reduced, resulting in a beneficial change for the entire system. Visualization techniques are adapted, and enhanced, to gain insight into the results of the aggregator-based optimization. A second approach to DR in the Smart Grid is taken in the form of a residential home energy management system (HEMS). The HEMS uses a non-myopic decision making technique, denoted partially-observable Markov decision process (POMDP), to make sequential decisions about energy usage within a residential household to minimize cost in a real-time pricing (RTP) environment. The POMDP HEMS significantly reduces the electricity cost for a residential customer with minimal impact on comfort. The secondary focus of the research is resource allocation for scientific applications in HPC using a dual-stage methodology. In the first stage, a batch scheduler assigns a number of homogeneous processors from a set of heterogeneous parallel machines to each application in a batch of parallel, scientific applications. The scheduler assigns machine resources to maximize the probability that all applications complete by a given time, denoted the makespan goal. This objective function is denoted robustness. The second stage uses runtime optimization in the form of dynamic loop scheduling to minimize the execution time of each application using the resources allocated in the first stage. It is shown that by combining the two optimization stages, better performance is achieved than by using either approach separately or by using neither. The specific contributions of this dissertation are: (a) heuristic frameworks and mathematical models for resource allocation in the Smart Grid and dual-stage HPC are designed, (b) CIP is introduced to allow an aggregator profit and encourage customer participation, and (c) heuristics and decision-making techniques are…
Advisors/Committee Members: Siegel, Howard Jay (advisor), Maciejewski, Anthony A. (advisor), Suryanarayanan, Siddharth (committee member), Bradley, Thomas H. (committee member).
Subjects/Keywords: high-performance computing; resource allocation; cyber-physical systems; smart grid; optimization
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Hansen, T. M. (2015). Resource allocation optimization in the smart grid and high-performance computing. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167096
Chicago Manual of Style (16th Edition):
Hansen, Timothy M. “Resource allocation optimization in the smart grid and high-performance computing.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/167096.
MLA Handbook (7th Edition):
Hansen, Timothy M. “Resource allocation optimization in the smart grid and high-performance computing.” 2015. Web. 07 Mar 2021.
Vancouver:
Hansen TM. Resource allocation optimization in the smart grid and high-performance computing. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/167096.
Council of Science Editors:
Hansen TM. Resource allocation optimization in the smart grid and high-performance computing. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167096
15.
Kadavil, Rahul.
Open source interface for distribution system modeling in power system co-simulation applications and two algorithms for populating feeder models, An.
Degree: MS(M.S.), Electrical and Computer Engineering, 2017, Colorado State University
URL: http://hdl.handle.net/10217/181317
► The aging electric infrastructure power system infrastructure is undergoing a transformative change mainly triggered by the large-scale integration of distributed resources such as distributed generation,…
(more)
▼ The aging electric infrastructure power system infrastructure is undergoing a transformative change mainly triggered by the large-scale integration of distributed resources such as distributed generation, hybrid loads, and home energy management systems at the end-use level. The future electric grid, also referred to as the Smart Grid, will make use of these distributed resources to intelligently manage the day to day power system operations with minimum human intervention. The proliferation of these advanced Smart Grid resources may lead to coordination problems to maintain the generation-demand balance at all times. To ensure their safe integration with the grid, extensive simulation studies need to be performed using distributed resources. Simulation studies serve as an economically viable alternative to avoid expensive failures. They also serve as an invaluable platform to study energy consumption behavior, demand response, power system stability, and power system
state estimation. Traditionally, power system analysis has been performed in isolated domains using simulation tools for the transmission and distribution systems. Moreover, modeling all the power system assets using a single power system tool is difficult and inconclusive. From the Smart Grid perspective, a common simulation platform for different power systems analysis tools is essential. A co-simulation framework enables the interaction of multiple power system tools, each modeling a single domain in detail, to run simultaneously and provide a holistic power system overview. To enable the co-simulation framework, a data exchange platform between the transmission and distribution system simulators is proposed to model transmission and distribution assets on different simulation testbeds. A graphical user interface (GUI) is developed as a frontend tool for the data exchange platform and makes use of two developed algorithms that simplifies the task of: 1. modeling distribution assets consisting of diverse feeder datasets for the distribution simulator and balanced three-phase level assets for the transmission system simulator, and 2. populating the distribution system with loads having stochastic profiles for timestep simulations. The load profiles used in the distribution system models are created using concepts from one-dimensional random walk theory to mimic the energy consumption behavior of residential class of consumers. The algorithms can simulate large scale distribution system assets linked to a transmission system for co-simulation applications. The proposed algorithms are tested on the standard test system – Roy Billinton Test System (RBTS) to model detailed distribution assets linked to a selected transmission node. Two open source power system simulators—MATPOWER© and GridLAB-D© are used for the transmission and distribution simulation process. The algorithms accurately create detailed distribution topology populated with 4026 residential loads expanded from the transmission node, bus 2 in RBTS. Thus, an automated modeling of power system…
Advisors/Committee Members: Suryanarayanan, Siddharth (advisor), Siegel, Howard J. (committee member), Bradley, Thomas H. (committee member).
Subjects/Keywords: power demand; power system modeling; smart grids; power system analysis computing; load flow; power system planning
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kadavil, R. (2017). Open source interface for distribution system modeling in power system co-simulation applications and two algorithms for populating feeder models, An. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/181317
Chicago Manual of Style (16th Edition):
Kadavil, Rahul. “Open source interface for distribution system modeling in power system co-simulation applications and two algorithms for populating feeder models, An.” 2017. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/181317.
MLA Handbook (7th Edition):
Kadavil, Rahul. “Open source interface for distribution system modeling in power system co-simulation applications and two algorithms for populating feeder models, An.” 2017. Web. 07 Mar 2021.
Vancouver:
Kadavil R. Open source interface for distribution system modeling in power system co-simulation applications and two algorithms for populating feeder models, An. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/181317.
Council of Science Editors:
Kadavil R. Open source interface for distribution system modeling in power system co-simulation applications and two algorithms for populating feeder models, An. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181317
16.
Singh, Pawan.
Real-time modeling and simulation of distribution feeder and distributed resources.
Degree: MS(M.S.), Electrical and Computer Engineering, 2015, Colorado State University
URL: http://hdl.handle.net/10217/170388
► The analysis of the electrical system dates back to the days when analog network analyzers were used. With the advent of digital computers, many programs…
(more)
▼ The analysis of the electrical system dates back to the days when analog network analyzers were used. With the advent of digital computers, many programs were written for power-flow and short circuit analysis for the improvement of the electrical system. Real-time computer simulations can answer many what-if scenarios in the existing or the proposed power system. In this thesis, the standard IEEE 13-Node distribution feeder is developed and validated on a real-time platform OPAL-RT™. The concept and the challenges of the real-time simulation are studied and addressed. Distributed energy resources include some of the commonly used distributed generation and storage devices like diesel engine, solar photovoltaic array, and battery storage system are modeled and simulated on a real-time platform. A microgrid encompasses a portion of an electric power distribution which is located downstream of the distribution substation. Normally, the microgrid operates in paralleled mode with the grid; however, scheduled or forced isolation can take place. In such conditions, the microgrid must have the ability to operate stably and autonomously. The microgrid can operate in grid connected and islanded mode, both the operating modes are studied in the last chapter. Towards the end, a simple microgrid controller modeled and simulated on the real-time platform is developed for energy management and protection for the microgrid.
Advisors/Committee Members: Suryanarayanan, Siddharth (advisor), Chakraborty, Sudipta (committee member), Zimmerle, Dan (committee member).
Subjects/Keywords: microgrid; real-time modeling; simulation
…NREL) and collaborators from Colorado State University (CSU) designed and…
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Singh, P. (2015). Real-time modeling and simulation of distribution feeder and distributed resources. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/170388
Chicago Manual of Style (16th Edition):
Singh, Pawan. “Real-time modeling and simulation of distribution feeder and distributed resources.” 2015. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/170388.
MLA Handbook (7th Edition):
Singh, Pawan. “Real-time modeling and simulation of distribution feeder and distributed resources.” 2015. Web. 07 Mar 2021.
Vancouver:
Singh P. Real-time modeling and simulation of distribution feeder and distributed resources. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/170388.
Council of Science Editors:
Singh P. Real-time modeling and simulation of distribution feeder and distributed resources. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/170388
17.
Vore, Spencer.
Methods to analyze large automotive fleet-tracking datasets with application to light- and medium-duty plug-in hybrid electric vehicle work trucks.
Degree: MS(M.S.), Mechanical Engineering, 2016, Colorado State University
URL: http://hdl.handle.net/10217/178869
► This work seeks to define methodologies and techniques to analyze automotive fleet-tracking big data and provide sample results that have implications to the real world.…
(more)
▼ This work seeks to define methodologies and techniques to analyze automotive fleet-tracking big data and provide sample results that have implications to the real world. To perform this work, vehicle fleet-tracking data from Odyne and Via Plug-in Hybrid Electric Trucks collected by the Electric Power Research Institute (EPRI) was used. Both CAN-communication bus signals and GPS data were recorded off of these vehicles with a second-by-second data collection rate.
Colorado State University (CSU) was responsible for analyzing this data after it had been collected by EPRI and producing results with application to the real world. A list of potential research questions is presented and an initial feasibility assessment is performed to determine how these questions might be answered using vehicle fleet-tracking data. Later, a subset of these questions are analyzed and answered in detail using the EPRI dataset. The methodologies, techniques, and software used for this data analysis are described in detail. An algorithm that summarizes second-by-second vehicle tracking data into a list of higher-level driving and charging events is presented and utility factor (UF) curves and other statistics of interest are generated from this summarized event data. In addition, another algorithm was built on the driving event identification algorithm to discretize the driving event data into approximately 90-second drive intervals. This allows for a regression model to be fit onto the data. A correlation between ambient temperature and equivalent vehicle fuel economy (in miles per gallon) is presented for Odyne and it is similar to the trend seen in conventional vehicle fuel economy vs. ambient temperature. It is also shown how ambient temperature variations can influence the vehicle fuel economy and there is a discussion about how changes in HVAC use could influence the fuel economy results. It is also demonstrated how variations in the data analysis methodology can influence the final results. This provides evidence that vehicle fleet-tracking data analysis methodologies need to be defined to ensure that the data analysis results are of the highest quality. The questions and assumptions behind the presented analysis results are examined and a list of future work to address potential concerns and unanswered questions about the data analysis process is presented. Hopefully, this future work list will be beneficial to future vehicle data analysis projects. The importance of using real-world driving data is demonstrated by comparing fuel economy results from our real-world data to the fuel economy calculated by EPA drive cycles. Utility factor curves calculated from the real-world data are also compared to standard utility factor curves that are presented in the SAE J2841 specification. Both of these comparisons showed a difference in real-world driving data, demonstrating the potential utility of evaluating vehicle technologies using the real-world big data techniques presented in this work. Overall, this work documents some of the…
Advisors/Committee Members: Bradley, Thomas H. (advisor), Marchese, Anthony (committee member), Suryanarayanan, Siddharth (committee member), Pasricha, Sudeep (committee member).
Subjects/Keywords: big data; light-duty trucks; plug-in hybrid electric vehicles; data analysis methods; automotive; medium-duty trucks
…Engineering at Colorado State University and write this thesis. While I
vii
was working on the… …research presented in this thesis at Colorado State University, I also had a
summer internship at… …charging station. This vehicle is owned by Colorado State University
2
and I took these… …Colorado State University Chevy Volt shown in these pictures was not
involved with EPRI’s data… …sent to a central database
and Colorado State University was given access to this central…
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APA ·
Chicago ·
MLA ·
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APA (6th Edition):
Vore, S. (2016). Methods to analyze large automotive fleet-tracking datasets with application to light- and medium-duty plug-in hybrid electric vehicle work trucks. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/178869
Chicago Manual of Style (16th Edition):
Vore, Spencer. “Methods to analyze large automotive fleet-tracking datasets with application to light- and medium-duty plug-in hybrid electric vehicle work trucks.” 2016. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/178869.
MLA Handbook (7th Edition):
Vore, Spencer. “Methods to analyze large automotive fleet-tracking datasets with application to light- and medium-duty plug-in hybrid electric vehicle work trucks.” 2016. Web. 07 Mar 2021.
Vancouver:
Vore S. Methods to analyze large automotive fleet-tracking datasets with application to light- and medium-duty plug-in hybrid electric vehicle work trucks. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/178869.
Council of Science Editors:
Vore S. Methods to analyze large automotive fleet-tracking datasets with application to light- and medium-duty plug-in hybrid electric vehicle work trucks. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/178869
18.
Dufrane, Stacey.
Optimization of daytime fuel consumption for a hybrid diesel and photovoltaic industrial micro-grid.
Degree: MS(M.S.), Mechanical Engineering, 2017, Colorado State University
URL: http://hdl.handle.net/10217/181470
► The work to be presented will examine the optimization of daytime diesel fuel consumption for a hybrid diesel and photovoltaic (PV) industrial micro-grid with no…
(more)
▼ The work to be presented will examine the optimization of daytime diesel fuel consumption for a hybrid diesel and photovoltaic (PV) industrial micro-grid with no energy storage. The micro-grid utilizes a control system developed to forecast PV transients and manage the diesel generators providing electrical supply to the micro-grid. The work focuses on optimization of daytime fuel consumption when PV generation is available. Simulations were utilized to minimize diesel consumption while maintaining secure operations by controlling both PV curtailment and diesel generation. The control system utilizes a cloud forecast system based upon sky imaging, developed by CSIRO (Australia), to predict the presence of cloud cover in concentric "rings" around the sun's position in the sky. The control system utilizes these cloud detections to establish supervisory settings for PV and diesel generation. Work included methods to optimize control response for the number of rings around the sun, studied the use of two different sizes of generators to allow for increased PV utilization, and modification of generator controller settings to reduce fault occurrence. The work indicates that increasing the number of rings used to create the PV forecast has the greatest impact on reducing the number of faults, while having a minimal impact on the total diesel consumption. Additionally, increasing the total number of generators in the system increases PV utilization and decreases fuel consumption.
Advisors/Committee Members: Marchese, Anthony (advisor), Zimmerle, Daniel (advisor), Suryanarayanan, Siddharth (committee member), Bradley, Thomas (committee member).
Subjects/Keywords: micro-grid; microgrid; photovoltaic
…Hybrid PV-Diesel Supervisory Control
System Version V1”, Colorado State University, Fort…
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Dufrane, S. (2017). Optimization of daytime fuel consumption for a hybrid diesel and photovoltaic industrial micro-grid. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/181470
Chicago Manual of Style (16th Edition):
Dufrane, Stacey. “Optimization of daytime fuel consumption for a hybrid diesel and photovoltaic industrial micro-grid.” 2017. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/181470.
MLA Handbook (7th Edition):
Dufrane, Stacey. “Optimization of daytime fuel consumption for a hybrid diesel and photovoltaic industrial micro-grid.” 2017. Web. 07 Mar 2021.
Vancouver:
Dufrane S. Optimization of daytime fuel consumption for a hybrid diesel and photovoltaic industrial micro-grid. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/181470.
Council of Science Editors:
Dufrane S. Optimization of daytime fuel consumption for a hybrid diesel and photovoltaic industrial micro-grid. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181470
19.
Duthu, Ray C., III.
Financial and environmental impacts of new technologies in the energy sector.
Degree: PhD, Mechanical Engineering, 2015, Colorado State University
URL: http://hdl.handle.net/10217/167224
► Energy industries (generation, transmission and distribution of fuels and electricity) have a long history as the key elements of the US energy economy and have…
(more)
▼ Energy industries (generation, transmission and distribution of fuels and electricity) have a long history as the key elements of the US energy economy and have operated within a mostly consistent niche in our society for the past century. However, varieties of interrelated drivers are forcing changes to these industries’ business practices, relationship to their customers, and function in society. In the electric utility industry, the customer is moving towards acting as a fuller partner in the energy economy: buying, selling, and dispatching its demand according to its own incentives. Natural gas exploration and production has long operated out in rural areas farther from public concerns or regulations, but now, due to hydraulic fracturing, new exploration is occurring in more urbanized, developed regions of the country and is creating significant public concern. For these industries, the challenges to their economic development and to improvements to the energy sector are not necessarily technological; but are social, business, and policy problems. This dissertation seeks to understand and design towards these issues by building economic and life cycle assessment models that quantify value, potential monetization, and the potential difference between the monetization and value for two new technologies: customer-owned distributed generation systems and integrated development plans with pipeline water transport in hydraulically fractured oil and gas fields. An inclusive business model of a generic customer in Fort Collins, Co and its surrounding utilities demonstrates that traditional utility rates provide customers with incentives that encourage over-monetization of a customer’s distributed generation resource at the expense of the utilities. Another model which compares customer behavior incented by traditional rates in three New England cities with the behavior incented through a real-time pricing market corroborates this conclusion. Daily customer load peak-shaving is shown to have a negligible and unreliable value in reducing the average cost of electricity and in some cases can increase these costs. These models support the hypothesis that distributed generation systems provide much greater value when operated during a few significant electricity price events than according to a daily cycle. New business practices which foster greater cooperation between customers and utilities, such as a real-time price market with a higher fidelity price signal, reconnect distributed generation’s potential monetization to its value in the marketplace. These new business models are required to ensure that these new technologies are integrated into the electric grid and into the energy market in such a way that all of the market participants are interested and invested stakeholders. The truck transport of water associated with hydraulic fracturing creates significant local costs. A life cycle analysis of a hypothetical oil and gas field generic to the northern
Colorado Denver-Julesburg basin quantifies the economic,…
Advisors/Committee Members: Bradley, Thomas H. (advisor), Bandhauer, Todd M. (committee member), Carlson, Kenneth H. (committee member), Suryanarayanan, Siddharth (committee member).
…and
several other projects at Colorado State University).
The pipeline optimization…
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Duthu, Ray C., I. (2015). Financial and environmental impacts of new technologies in the energy sector. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167224
Chicago Manual of Style (16th Edition):
Duthu, Ray C., III. “Financial and environmental impacts of new technologies in the energy sector.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/167224.
MLA Handbook (7th Edition):
Duthu, Ray C., III. “Financial and environmental impacts of new technologies in the energy sector.” 2015. Web. 07 Mar 2021.
Vancouver:
Duthu, Ray C. I. Financial and environmental impacts of new technologies in the energy sector. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/167224.
Council of Science Editors:
Duthu, Ray C. I. Financial and environmental impacts of new technologies in the energy sector. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167224
20.
Alaqeel, Turki.
Econometric framework for electricity infrastructure modernization in Saudi Arabia, An.
Degree: PhD, Electrical and Computer Engineering, 2017, Colorado State University
URL: http://hdl.handle.net/10217/183891
► The electricity infrastructure in Saudi Arabia is facing several challenges represented by demand growth, high peak demand, high level of government subsidies, and system losses.…
(more)
▼ The electricity infrastructure in Saudi Arabia is facing several challenges represented by demand growth, high peak demand, high level of government subsidies, and system losses. This dissertation aims at addressing these challenges and proposing a multi-dimensional framework to modernize the electricity infrastructure in Saudi Arabia. The framework proposes four different scenarios—identified by two dimensions—for the future electric grid. The first and second dimensions are characterized by electricity market deregulation and Smart Grid technologies (SGTs) penetration, respectively. The framework analysis estimates global welfare (GW) and economic feasibility of the two dimensions. The first dimension quantifies the impact of deregulating the electricity market in Saudi Arabia. A non-linear programming (NLP) algorithm optimizes consumers surplus, producers surplus, and GW. The model indicates that deregulating the electricity market in Saudi Arabia will improve market efficiency. The second dimension proposes that allowing the penetration of SGTs in the Saudi electricity infrastructure is expected to mitigate the technical challenges faced by the grid. The dissertation examines the priorities of technologies for penetration by considering some key performance indicators (KPIs) identified by the Saudi National Transformation Program, and Saudi Vision 2030. A multi-criteria decision making (MCDM) algorithm—using the fuzzy Analytic Hierarchy Process (AHP)—evaluates the prioritization of SGTs to the Saudi grid. The algorithm demonstrates the use of triangular fuzzy numbers to model uncertainty in planning decisions. The results show that advanced metering infrastructure (AMI) technologies are the top priority for modernizing the Saudi electricity infrastructure; this is followed by advanced assets management (AAM) technologies, advanced transmission operations (ATO) technologies, and advanced distribution operations (ADO) technologies. SGTs prioritization is followed by a detailed cost benefit analysis (CBA) conducted for each technology. The framework analysis aims at computing the economic feasibility of SGTs and estimating their outcomes and impacts in monetary values. The framework maps Smart Grid assets to their functions and benefits to estimate the feasibility of each Smart Grid technology and infrastructure. Discounted cash flow (DCF) and net present value (NPV) models, benefit/cost ratio, and minimum total cost are included in the analysis. The results show that AAM technologies are the most profitable technologies of Smart Grid to the Saudi electricity infrastructure, followed by ADO technologies, ATO technologies, and AMI technologies. Considering the weights resulting from the fuzzy AHP and the economic analysis models for each infrastructure, the overall ranking places AAM technologies as the top priority of SGTs to the Saudi electricity infrastructure, followed by AMI technologies, ADO technologies, and ATO technologies. This dissertation has contributed to the existing body of knowledge in the following…
Advisors/Committee Members: Suryanarayanan, Siddharth (advisor), Coats, Jennifer (committee member), Collins, George J. (committee member), Maciejewski, Anthony A. (committee member).
Subjects/Keywords: econometric analysis; electricity market deregulation; smart grid; electricity infrastructure modernization; decision making; Saudi Arabia
Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Alaqeel, T. (2017). Econometric framework for electricity infrastructure modernization in Saudi Arabia, An. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183891
Chicago Manual of Style (16th Edition):
Alaqeel, Turki. “Econometric framework for electricity infrastructure modernization in Saudi Arabia, An.” 2017. Doctoral Dissertation, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/183891.
MLA Handbook (7th Edition):
Alaqeel, Turki. “Econometric framework for electricity infrastructure modernization in Saudi Arabia, An.” 2017. Web. 07 Mar 2021.
Vancouver:
Alaqeel T. Econometric framework for electricity infrastructure modernization in Saudi Arabia, An. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/183891.
Council of Science Editors:
Alaqeel T. Econometric framework for electricity infrastructure modernization in Saudi Arabia, An. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183891
.