Frequency Regulation Strategy Considering User Behavior Uncertainty of Electric Vehicles
As the integration of renewable energy accelerates, the challenge of maintaining grid frequency stability becomes increasingly significant. Traditional frequency regulation strategy relies on large generators, which are not adapted to the current conditions due to their slow response time. In recent...
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| Veröffentlicht in: | 2024 6th International Conference on Power and Energy Technology (ICPET) S. 1226 - 1231 |
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| Sprache: | Englisch |
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IEEE
12.07.2024
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| Abstract | As the integration of renewable energy accelerates, the challenge of maintaining grid frequency stability becomes increasingly significant. Traditional frequency regulation strategy relies on large generators, which are not adapted to the current conditions due to their slow response time. In recent years, the rapid growth in the number of electric vehicles (EVs) has provided significant frequency regulation potential. However, the inherent uncertainty in user behavior complicates the integration of EVs into frequency regulation frameworks. This paper addresses these challenges by proposing a frequency regulation strategy considering user behavior uncertainty of EVs. Initially, three major uncertainties in user behavior of EVs are modeled. Subsequently, a stochastic optimization model based on chance constraints is established to optimize the participation of EVs in frequency regulation. A particle swarm optimization (PSO) algorithm enhanced by random simulation techniques is employed to solve the proposed model. Finally, the proposed strategy is tested on a modified IEEE 33-bus test system. The results demonstrate that the proposed strategy effectively quantifies the uncertainties of user behavior and makes the frequency regulation strategy for EVs more realistic. |
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| AbstractList | As the integration of renewable energy accelerates, the challenge of maintaining grid frequency stability becomes increasingly significant. Traditional frequency regulation strategy relies on large generators, which are not adapted to the current conditions due to their slow response time. In recent years, the rapid growth in the number of electric vehicles (EVs) has provided significant frequency regulation potential. However, the inherent uncertainty in user behavior complicates the integration of EVs into frequency regulation frameworks. This paper addresses these challenges by proposing a frequency regulation strategy considering user behavior uncertainty of EVs. Initially, three major uncertainties in user behavior of EVs are modeled. Subsequently, a stochastic optimization model based on chance constraints is established to optimize the participation of EVs in frequency regulation. A particle swarm optimization (PSO) algorithm enhanced by random simulation techniques is employed to solve the proposed model. Finally, the proposed strategy is tested on a modified IEEE 33-bus test system. The results demonstrate that the proposed strategy effectively quantifies the uncertainties of user behavior and makes the frequency regulation strategy for EVs more realistic. |
| Author | Li, Zepeng Zhang, Zongbao Zhao, Wenmeng Hu, Xinying Hao, Jiao Wu, Qiu-Wei |
| Author_xml | – sequence: 1 givenname: Jiao surname: Hao fullname: Hao, Jiao email: haojiao.sjtu@163.com organization: Shenzhen Power Supply Bureau Co., Ltd.,Shenzhen,China – sequence: 2 givenname: Wenmeng surname: Zhao fullname: Zhao, Wenmeng email: zhaowm@csg.cn organization: Electric Power Research Institute, CSG,Guangzhou,China – sequence: 3 givenname: Zongbao surname: Zhang fullname: Zhang, Zongbao email: zbzhangwhu@163.com organization: Shenzhen Power Supply Bureau Co., Ltd.,Shenzhen,China – sequence: 4 givenname: Xinying surname: Hu fullname: Hu, Xinying email: huxy23@mails.tsinghua.edu.cn organization: Tsinghua University,Tsinghua Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate School,Shenzhen,China – sequence: 5 givenname: Zepeng surname: Li fullname: Li, Zepeng email: lizp22@mails.tsinghua.edu.cn organization: Tsinghua University,Tsinghua Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate School,Shenzhen,China – sequence: 6 givenname: Qiu-Wei surname: Wu fullname: Wu, Qiu-Wei email: quiwu@tju.edu.cn organization: Tianjin University,School of Electrical and Information Engineering,Tianjin,China |
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| Snippet | As the integration of renewable energy accelerates, the challenge of maintaining grid frequency stability becomes increasingly significant. Traditional... |
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| SubjectTerms | chance constraints programming (CCP) electric vehicle (EV) Electric vehicles Frequency control frequency regulation Optimization models Particle swarm optimization particle swarm optimization (PSO) Power system stability Renewable energy sources Stability analysis Stochastic processes Time factors Uncertainty user behavior uncertainty |
| Title | Frequency Regulation Strategy Considering User Behavior Uncertainty of Electric Vehicles |
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