Electric Power ›› 2025, Vol. 58 ›› Issue (9): 194-204, 218.DOI: 10.11930/j.issn.1004-9649.202411059

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Decentralized Peer-to-peer Trading Strategy Considering Flexibility of Multiple Microgrids

HUANGFU Xiaowen1(), LI Ke1, XU Changqing1, JIANG Xiaoliang1, YU Haozheng1, WANG Rujing2()   

  1. 1. State Grid Henan Electric Power Company Economic and Technical Research Institute, Zhengzhou 450052, China
    2. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
  • Received:2024-11-18 Online:2025-09-26 Published:2025-09-28
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (Research and Demonstration of Friendly Microgrid Coordination Optimization And Operation Mode Supporting New Power Systems, No.5108-202218280A-2-135-XG).

Abstract:

Active distribution network dominated by renewable energy need to incentivize the participation of various distributed energy resources to enhance system flexibility. To address the power fluctuation problems caused by the large-scale access of renewable energy, this paper firstly introduced a shared energy storage system (SESS) and a peer to peer (P2P) energy trading mechanism, with full consideration of the interactions between active distribution networks and microgrids (MG), and investigated the multi-MG power fluctuation mitigation strategy and the P2P flexibility trading strategy based on SESS leasing. Secondly, a multi-MG revenue allocation mechanism based on asymmetric Nash bargaining was proposed and a nonlinear energy mapping function was used for evaluating each MG's contribution in order to attain fair allocation of cooperative revenue. Finally, the proposed model was solved distributively using the alternating direction method of multipliers (ADMM), effectively protecting information security for all stakeholders. The effectiveness of the proposed method was then demonstrated through comparative case studies.

Key words: microgrids, flexibility, asymmetric Nash bargaining, peer-to-peer trading