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Impact of Electric Vehicle Integration on Reliability and Frequency Stability of Renewable Integrated Systems.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Impact of Electric Vehicle Integration on Reliability and Frequency Stability of Renewable Integrated Systems./
作者:
Pandit, Deepak.
面頁冊數:
1 online resource (97 pages)
附註:
Source: Masters Abstracts International, Volume: 85-07.
Contained By:
Masters Abstracts International85-07.
標題:
Transportation. -
電子資源:
click for full text (PQDT)
ISBN:
9798381374049
Impact of Electric Vehicle Integration on Reliability and Frequency Stability of Renewable Integrated Systems.
Pandit, Deepak.
Impact of Electric Vehicle Integration on Reliability and Frequency Stability of Renewable Integrated Systems.
- 1 online resource (97 pages)
Source: Masters Abstracts International, Volume: 85-07.
Thesis (M.S.)--University of Wyoming, 2023.
Includes bibliographical references
With the progress of renewable energy resources (RERs) in the energy sector, the transportation sector is also adopting environmentally friendly approaches, leading to a significant increase in the utilization of electric vehicles (EVs) in recent years. Fast-charging stations (FCSs) and battery swapping stations (BSSs) have further increased the prospect of EVs by eliminating the limiting factors associated with EVs like longer charging times, gradual battery degradation, and limited driving range. However, the growing penetration of EVs in the power system raises concerns regarding the system's ability to generate enough power to meet the increased load (system reliability). In addition, the temporal nature of EV loads can present an additional load during peak hours, further degrading system reliability. On the other hand, aggregated EV fleets can also act as fast-discharging energy storage systems, improving the system's dynamic response under contingencies, particularly the system frequency response. As the aggregated EVs can provide frequency support under contingencies, the grids can maintain a higher penetration of zero-inertia RERs, which in turn can improve system reliability. Since the integration of EVs can present a dual-faceted impact on system reliability, it is crucial to incorporate these facets of EV integration in the reliability assessment tools.This research proposes reliability assessment models that focus on integrating EVs and RERs into conventional power grids, primarily focusing on the time-varying EV loads and the frequency support from EVs. Initially, a simulation-based study is proposed with a sequential Monte Carlo simulation (MCS)-based reliability model. Within the proposed MCS framework, a simulation-based algorithm is proposed to determine the penetration limit of RERs in the system at every time step. In addition, an inertia and droop response-based control circuit is developed to model the frequency support from aggregated EVs to elevate the RER penetration levels in the system. Next, to investigate the impacts of different EV operation strategies on system reliability, the effects of battery-swapping-based EVs and plug-in EVs (PEVs) on the overall system reliability are analyzed. In order to assess the impacts of EVs in multi-area interconnected systems, an advanced load frequency control (LFC) model is developed. The advanced LFC model incorporates expected system inertia from MCS, EV control modules, and particle swarm optimization (PSO) tuned PID controllers. In addition, a new approach is developed for the optimal placement and sizing of battery-swapping stations (BSSs) for battery-swapping EVs using a composite reliability-based framework. Within the composite reliability framework, linear and mixed-integer optimization problems are developed to obtain the BSSs placement buses and power and energy ratings.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798381374049Subjects--Topical Terms:
558117
Transportation.
Subjects--Index Terms:
Battery swapping stationsIndex Terms--Genre/Form:
554714
Electronic books.
Impact of Electric Vehicle Integration on Reliability and Frequency Stability of Renewable Integrated Systems.
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With the progress of renewable energy resources (RERs) in the energy sector, the transportation sector is also adopting environmentally friendly approaches, leading to a significant increase in the utilization of electric vehicles (EVs) in recent years. Fast-charging stations (FCSs) and battery swapping stations (BSSs) have further increased the prospect of EVs by eliminating the limiting factors associated with EVs like longer charging times, gradual battery degradation, and limited driving range. However, the growing penetration of EVs in the power system raises concerns regarding the system's ability to generate enough power to meet the increased load (system reliability). In addition, the temporal nature of EV loads can present an additional load during peak hours, further degrading system reliability. On the other hand, aggregated EV fleets can also act as fast-discharging energy storage systems, improving the system's dynamic response under contingencies, particularly the system frequency response. As the aggregated EVs can provide frequency support under contingencies, the grids can maintain a higher penetration of zero-inertia RERs, which in turn can improve system reliability. Since the integration of EVs can present a dual-faceted impact on system reliability, it is crucial to incorporate these facets of EV integration in the reliability assessment tools.This research proposes reliability assessment models that focus on integrating EVs and RERs into conventional power grids, primarily focusing on the time-varying EV loads and the frequency support from EVs. Initially, a simulation-based study is proposed with a sequential Monte Carlo simulation (MCS)-based reliability model. Within the proposed MCS framework, a simulation-based algorithm is proposed to determine the penetration limit of RERs in the system at every time step. In addition, an inertia and droop response-based control circuit is developed to model the frequency support from aggregated EVs to elevate the RER penetration levels in the system. Next, to investigate the impacts of different EV operation strategies on system reliability, the effects of battery-swapping-based EVs and plug-in EVs (PEVs) on the overall system reliability are analyzed. In order to assess the impacts of EVs in multi-area interconnected systems, an advanced load frequency control (LFC) model is developed. The advanced LFC model incorporates expected system inertia from MCS, EV control modules, and particle swarm optimization (PSO) tuned PID controllers. In addition, a new approach is developed for the optimal placement and sizing of battery-swapping stations (BSSs) for battery-swapping EVs using a composite reliability-based framework. Within the composite reliability framework, linear and mixed-integer optimization problems are developed to obtain the BSSs placement buses and power and energy ratings.
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