A Fast-Converging Virtual Power Plant Game Trading Model Based on Reference Ancillary Service Pricing

Jiangfan Yuan, Min Zhang, Hongxun Tian, Xiangyu Guo, Xiao Chang, Tengxin Wang and Yingjun Wu ()
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Jiangfan Yuan: School of Electrical and Power Engineering, Hohai University, Nanjing 210024, China
Min Zhang: State Grid Shanxi Electric Power Research Institute, Taiyuan 102206, China
Hongxun Tian: State Grid Shanxi Electric Power Company, Taiyuan 030021, China
Xiangyu Guo: State Grid Shanxi Electric Power Research Institute, Taiyuan 102206, China
Xiao Chang: State Grid Shanxi Electric Power Research Institute, Taiyuan 102206, China
Tengxin Wang: State Grid Shanxi Electric Power Research Institute, Taiyuan 102206, China
Yingjun Wu: School of Electrical and Power Engineering, Hohai University, Nanjing 210024, China

Energies, 2025, vol. 18, issue 10, 1-19

Abstract: In order to improve the trading efficiency of virtual power plants (VPPs) participating in the market of multi-type auxiliary services under the gaming environment, an initial trading price setting method based on the information of VPPs’ response characteristics and real-time supply and demand changes is proposed to accelerate the convergence speed of the game. Firstly, a master–slave game trading model is established based on the reference auxiliary service pricing, which consists of a tariff coefficient and a basic tariff. Secondly, the tariff coefficient model is constructed based on response information, including response rate, quality, and reliability. Again, the basic tariff model is constructed based on the real-time supply and demand situation and the real-time grid tariff. Finally, the effectiveness of the proposed method in accelerating the convergence speed of the game is verified by analyzing 12 VPPs under the three auxiliary service scenarios of peaking, frequency regulation, and reserve.

Keywords: virtual power plant; ancillary service; trading; game; convergence (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: 2025
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