Abstract: Under the background of "dual carbon",efficient collaborative scheduling between distribution networks and microgrids is of great significance for improving the level of new energy consumption and ensuring the stable operation of the system.Therefore,this article constructs a collaborative optimization operation method for distribution networks and multi microgrids with shared energy storage based on multi-agent games,which is modeled and solved in two stages.In the first stage,a multi-objective optimization configuration model for multi microgrid shared energy storage is established,which takes into account the randomness of new energy fluctuations and the economic efficiency of each microgrid undertaking shared energy storage.The charging and discharging interaction power between energy storage and each microgrid in each period is obtained and transmitted to the second stage.In the second stage,the distribution network serves as the leader,with shared energy storage and multi microgrids as followers.A game optimization model with one master and two followers is established,and an outer genetic algorithm is nested with an inner solver to determine the purchase and sale prices of electricity between the distribution network,multi microgrids,and shared energy storage in each time period,achieving the minimum operating cost.