Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China
Effective aggregation and rational allocation of flexible resources are the fundamental methods for solving the problem of an insufficient flexibility adjustment ability of a power system. The flexible scheduling resources of a distribution system are often small in scale and distributed mostly by d...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/19/6760 |
| _version_ | 1797575973258919936 |
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| author | Hui Sun Yanan Dou Shubo Hu Zhengnan Gao Zhonghui Wang Peng Yuan |
| author_facet | Hui Sun Yanan Dou Shubo Hu Zhengnan Gao Zhonghui Wang Peng Yuan |
| author_sort | Hui Sun |
| collection | DOAJ |
| description | Effective aggregation and rational allocation of flexible resources are the fundamental methods for solving the problem of an insufficient flexibility adjustment ability of a power system. The flexible scheduling resources of a distribution system are often small in scale and distributed mostly by different stakeholders. A virtual power plant (VPP) gathers small resources to participate in the day-ahead electricity market, but, due to the scale and characteristics of a VPP’s internal flexible resources, it cannot reach the access threshold of a peak shaving market in some periods due to small differences. In order to solve the market bidding problem of a VPP limited by capacity, and to achieve economic goals, a virtual power plant operator (VPPO) not only needs to interact with internal subjects but also needs to interact with other subjects with flexible resources in the distribution network. In this study, an electric vehicle (EV) cluster is taken as the interactive object, and a day-ahead bidding strategy of a VPP with multi-level electric energy interaction is proposed. The VPP not only makes full-time game pricing for internal participants but also makes time-sharing bargaining with an EV operator. The validity and the rationality of the proposed strategy are verified by an example. |
| first_indexed | 2024-03-10T21:46:01Z |
| format | Article |
| id | doaj.art-bdc4a2a27edc4e0fac8e8ea70fc8c96e |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T21:46:01Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-bdc4a2a27edc4e0fac8e8ea70fc8c96e2023-11-19T14:18:29ZengMDPI AGEnergies1996-10732023-09-011619676010.3390/en16196760Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in ChinaHui Sun0Yanan Dou1Shubo Hu2Zhengnan Gao3Zhonghui Wang4Peng Yuan5School of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaSchool of Electrical Engineering, Dalian University of Technology, Dalian 116024, ChinaElectric Power Dispatching and Control Center of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110055, ChinaState Grid Liaoning Electric Power Research Institute Co., Ltd., Shenyang 110055, ChinaEffective aggregation and rational allocation of flexible resources are the fundamental methods for solving the problem of an insufficient flexibility adjustment ability of a power system. The flexible scheduling resources of a distribution system are often small in scale and distributed mostly by different stakeholders. A virtual power plant (VPP) gathers small resources to participate in the day-ahead electricity market, but, due to the scale and characteristics of a VPP’s internal flexible resources, it cannot reach the access threshold of a peak shaving market in some periods due to small differences. In order to solve the market bidding problem of a VPP limited by capacity, and to achieve economic goals, a virtual power plant operator (VPPO) not only needs to interact with internal subjects but also needs to interact with other subjects with flexible resources in the distribution network. In this study, an electric vehicle (EV) cluster is taken as the interactive object, and a day-ahead bidding strategy of a VPP with multi-level electric energy interaction is proposed. The VPP not only makes full-time game pricing for internal participants but also makes time-sharing bargaining with an EV operator. The validity and the rationality of the proposed strategy are verified by an example.https://www.mdpi.com/1996-1073/16/19/6760virtual power plantdistributed energy resourcesdiversified demand-side resourcesday-ahead marketpower flexibility resourcesEV cluster |
| spellingShingle | Hui Sun Yanan Dou Shubo Hu Zhengnan Gao Zhonghui Wang Peng Yuan Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China Energies virtual power plant distributed energy resources diversified demand-side resources day-ahead market power flexibility resources EV cluster |
| title | Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China |
| title_full | Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China |
| title_fullStr | Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China |
| title_full_unstemmed | Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China |
| title_short | Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China |
| title_sort | day ahead bidding strategy of a virtual power plant with multi level electric energy interaction in china |
| topic | virtual power plant distributed energy resources diversified demand-side resources day-ahead market power flexibility resources EV cluster |
| url | https://www.mdpi.com/1996-1073/16/19/6760 |
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