Hunan Electric Power ›› 2025, Vol. 45 ›› Issue (2): 129-136.doi: 10.3969/j.issn.1008-0198.2025.02.018

• Artifical Intelligence and Digitization in Electrical Power • Previous Articles     Next Articles

Study on Market Trading Mechanism of Virtual Power Plant Adapted to Large Peak-Valley Difference

LI Jichuan1, LUO Chaochun1, WANG Yu2, LIU Xiangbin1, GUO Weijia2, LIU Dunnan2   

  1. 1. Hunan Power Exchange Center Co., Ltd., Changsha 410004, China;
    2. North China Electric Power University, Beijing 102206, China
  • Received:2024-11-11 Revised:2024-12-18 Published:2025-04-30

Abstract: With the increasing scale of new energy access, the supply and demand situation of the power system is becoming more and more severe. The trading mechanism for large-scale participation in the market is urgently needed to be established for virtual power plants(VPPs). Against this background, the situation and key issues of VPPs' participation in the market at home and abroad are fully investigated and sorted out, and a trading pattern for VPPs' participation in the medium-and long-term, spot and auxiliary service markets is proposed. Additionally, in order to further utilize the value of the full time-scale flexibility of VPPs, considering the uncertainty of user response, the trading varieties and market model for VPPs to participate in medium-and long-term peaking auxiliary services are constructed. Simulation results demonstrate that this approach can effectively stimulate the flexible adjustment potential of VPPs while mitigating peak shaving pressure arising from the peak-to-valley difference of the system under the high proportion of new energy access.

Key words: virtual power plants, medium and long term, peaking auxiliary services, trading pattern, spot goods

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