多微电网交易行为不仅实现了有效的能源协同管理，还为配电市场中的主体带来了经济效益。为了实现多微电网运行成本最小化的同时降低配电网的网损，提出了一种考虑配电网重构的多微电网电能交易纳什谈判方法。首先，考虑多微电网的电能交易，建立多微电网优化运行模型。其次，基于纳什谈判理论，建立多微电网电能交易模型，并将纳什谈判原问题等价转换为两个子问题，即多微电网运行成本最小化和支付效益最大化。然后，基于混合整数二阶锥规划方法建立配电网重构模型，对配电网进行潮流优化和网络重构，并利用Dijkstra算法寻找该网络拓扑下微电网间的最短电气距离，更新电能传输路径。最后，通过算例验证了所提方法的有效性，仿真结果表明，考虑配电网重构的多微电网电能交易纳什谈判方法最大化了社会效益，使社会总成本降低13.67 %。

Multi-microgrid trading behavior not only achieves effective energy collaborative management but also brings economic benefits to entities in the distribution market. To minimize the operational costs of multi-microgrid while reducing power losses in the distribution network, a Nash bargaining method for multi-microgrid electricity trading considering distribution network reconfiguration is proposed. Firstly, an optimal operation model for multi-microgrid is established, accounting for their electricity trading. Secondly, based on Nash bargaining theory, a multi-microgrid electricity trading model is constructed, and the original Nash bargaining problem is equivalently transformed into two subproblems: minimizing multi-microgrid operational costs and maximizing payment benefits. Then, a distribution network reconfiguration model is developed using the mixed-integer second-order cone programming method to optimize power flow and reconfigure the network. The Dijkstra algorithm is employed to find the shortest electrical distance between microgrids under this network topology, updating the electricity transmission paths. Finally, case studies validate the effectiveness of the proposed method. Simulation results demonstrate that the Nash bargaining method for multi-microgrid electricity trading considering distribution network reconfiguration maximizes social benefits, reducing total social costs by 13.67 %.