基于改进Shapley值法的社区综合能源系统收益分配与协同优化OA

To address the issues of uneven benefit distribution and low computational efficiency arising from multi-party collaboration in community integrated energy systems,this paper proposes an energy system collaborative optimization and efficient distribution method based on a weighted hierarchical Shapley value approach.First,a cooperative operation framework for community integrated energy systems is established,analyzing the game relationship among microgrid operators,producers,and consumers.Secondly,addressing the high computational complexity and insufficient incentive distribution associated with the traditional Shapley value method in large-scale systems,a hierarchical Shapley value distribution mechanism combined with the weighted surplus of photovoltaic power generation is designed.This mechanism effectively incentivizes green energy contributors while ensuring the basic income of all participants.The proposed model combines master-slave games with cooperative games to optimize the efficiency of energy mutual assistance and shared energy storage within the community.Finally,case simulations validate the superiority of this method in improving distribution efficiency,fairness,and economic incentives,demonstrating its strong potential for application in scenarios involving the continuous expansion of multiple producers and consumers sharing energy storage collaboratively.