【摘要】 微电网集群化的迅速发展使得微电网间能源交易公平性与策略灵活性问题日益凸显。对此提出一种基于合作博弈与纳什谈判的多微电网电能交易协同优化方法，以兼顾效益最大化与公平分配，并采用交替方向乘子法进行分布式求解。同时，考虑新能源出力与负荷的时空相关性，基于Copula理论构建风-光-荷联合概率分布模型。仿真结果表明，该机制可有效实现市场均衡并降低系统运行成本。更多还原

【Abstract】 The rapid development of microgrid clustering has highlighted issues of fairness and strategic flexibility in energy trading. This paper proposes a cooperative game and Nash bargaining-based method for multi-microgrid energy trading, aiming to maximize benefits and ensure fair distribution, which is solved distributively using the alternating direction method of multipliers. Considering the spatiotemporal correlation between renewable generation and load demand, a joint probability model of wind-PV-load is established based on Copula theory. Simulation results show that the proposed mechanism achieves market equilibrium and reduces operational costs effectively.更多还原