Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant
In addition to renewable energy sources and market prices uncertainties, the regulation commands issued by the superior market operator are unpredictable factors within the virtual power plant (VPP) bidding range. To avoid branch power flow outage and voltage violation under uncertain regulation com...
| 出版年: | CSEE Journal of Power and Energy Systems |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
China electric power research institute
2025-01-01
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| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/9862538/ |
| _version_ | 1849670371864739840 |
|---|---|
| author | Zhongkai Yi Yinliang Xu Xuan Wei Hongbin Sun |
| author_facet | Zhongkai Yi Yinliang Xu Xuan Wei Hongbin Sun |
| author_sort | Zhongkai Yi |
| collection | DOAJ |
| container_title | CSEE Journal of Power and Energy Systems |
| description | In addition to renewable energy sources and market prices uncertainties, the regulation commands issued by the superior market operator are unpredictable factors within the virtual power plant (VPP) bidding range. To avoid branch power flow outage and voltage violation under uncertain regulation commands, a tri-level robust optimization-based day-ahead energy and regulation service bidding strategy for a generalized VPP, considering various distributed energy resources is proposed, in which the VPP bidding strategy, worst scenario estimation approach and regulation service scheduling method are formulated at three optimization layers, respectively. Then, the proposed tri-level model is transformed into an equivalent, single-level, mixed integer, second-order cone programming problem with rigid proof. Numerical simulations illustrate the effectiveness and superiority of the proposed approach by comparison with other prevailing methods in recent literature. |
| format | Article |
| id | doaj-art-94e351adf00a4412b6e091548dbed779 |
| institution | Directory of Open Access Journals |
| issn | 2096-0042 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| spelling | doaj-art-94e351adf00a4412b6e091548dbed7792025-08-20T02:18:24ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422025-01-0111269270410.17775/CSEEJPES.2021.008209862538Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power PlantZhongkai Yi0Yinliang Xu1https://orcid.org/0000-0001-5149-5101Xuan Wei2Hongbin Sun3Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China,518055Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China,518055Tsinghua Shenzhen International Graduate School, Tsinghua University,Shenzhen,China,518055Tsinghua University,Department of Electrical Engineering,Beijing,China,100084In addition to renewable energy sources and market prices uncertainties, the regulation commands issued by the superior market operator are unpredictable factors within the virtual power plant (VPP) bidding range. To avoid branch power flow outage and voltage violation under uncertain regulation commands, a tri-level robust optimization-based day-ahead energy and regulation service bidding strategy for a generalized VPP, considering various distributed energy resources is proposed, in which the VPP bidding strategy, worst scenario estimation approach and regulation service scheduling method are formulated at three optimization layers, respectively. Then, the proposed tri-level model is transformed into an equivalent, single-level, mixed integer, second-order cone programming problem with rigid proof. Numerical simulations illustrate the effectiveness and superiority of the proposed approach by comparison with other prevailing methods in recent literature.https://ieeexplore.ieee.org/document/9862538/Bidding strategydistributed energy resourcespower markettri-level optimizationvirtual power plant |
| spellingShingle | Zhongkai Yi Yinliang Xu Xuan Wei Hongbin Sun Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant Bidding strategy distributed energy resources power market tri-level optimization virtual power plant |
| title | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_full | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_fullStr | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_full_unstemmed | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_short | Robust Security Constrained Energy and Regulation Service Bidding Strategy for a Virtual Power Plant |
| title_sort | robust security constrained energy and regulation service bidding strategy for a virtual power plant |
| topic | Bidding strategy distributed energy resources power market tri-level optimization virtual power plant |
| url | https://ieeexplore.ieee.org/document/9862538/ |
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