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 %.