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While the scale of renewable energy generation continues to increase, a significant portion of power resources produced by renewable sources remains unconsumed, leading to a degree of resource wastage. Regional microgrids with both output and consumption of energy resources constitute current energy prosumers. Peer-to-Peer (P2P) trading offers an efficient means of utilizing renewable energy among energy prosumers who possess both power generation and consumption capabilities. However, within the current market mechanism, each prosumer retains private information that is not disclosed on the network. To address the issue of incomplete information among multiple prosumers during the decision-making process, we have developed a Bayesian game model for P2P electricity transactions among multiple prosumers. Each prosumer makes decisions based on its own characteristics and estimations of other prosumers’ characteristics derived from joint probability distributions. These decisions are aimed at minimizing each prosumer's electricity costs. Simulation results confirm the effectiveness of the Bayesian game model proposed in this study.

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Peer-to-Peer Transactions of Multiple Prosumers Based on Incomplete Information of Bayesian Game

  • 会议论文

  • 发表日期：

    2025年

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  • Wanxin Tang,
  • Xiaolong Jin,
  • Hongjie Jia,
  • Yunfei Mu,
  • Xiaodan Yu,
  • Chang Xu,
  • Zhipeng Jing,
  • Liang Ma

摘要

While the scale of renewable energy generation continues to increase, a significant portion of power resources produced by renewable sources remains unconsumed, leading to a degree of resource wastage. Regional microgrids with both output and consumption of energy resources constitute current energy prosumers. Peer-to-Peer (P2P) trading offers an efficient means of utilizing renewable energy among energy prosumers who possess both power generation and consumption capabilities. However, within the current market mechanism, each prosumer retains private information that is not disclosed on the network. To address the issue of incomplete information among multiple prosumers during the decision-making process, we have developed a Bayesian game model for P2P electricity transactions among multiple prosumers. Each prosumer makes decisions based on its own characteristics and estimations of other prosumers’ characteristics derived from joint probability distributions. These decisions are aimed at minimizing each prosumer's electricity costs. Simulation results confirm the effectiveness of the Bayesian game model proposed in this study.