Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China

Hui Sun (), Yanan Dou, Shubo Hu, Zhengnan Gao, Zhonghui Wang and Peng Yuan
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Hui Sun: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Yanan Dou: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Shubo Hu: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Zhengnan Gao: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Zhonghui Wang: Electric Power Dispatching and Control Center of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110055, China
Peng Yuan: State Grid Liaoning Electric Power Research Institute Co., Ltd., Shenyang 110055, China

Energies, 2023, vol. 16, issue 19, 1-27

Abstract: 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.

Keywords: virtual power plant; distributed energy resources; diversified demand-side resources; day-ahead market; power flexibility resources; EV cluster; bidding in electricity market (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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