Abstract: To improve the overall operational efficiency of multi-microgrids in the same region, as well as the local consumption capacity of distributed new energy, fully utilize the generation and load differences between microgrids and the resource sharing of shared energy storage,a method of multi-microgrids power interaction and shared energy storage optimization was proposed. Firstly, a comprehensive curve shape and distance-matching index based on microgrid's generation and load data was constructed, microgrid groups and combining pairs were divided, efficient power interaction among multi-microgrids was achieved, and economic benefits and new energy consumption capacity were improved. Secondly, a multi-microgrids shared energy storage cost allocation method based on the improved Shapley value method was proposed to achieve energy storage cost allocation. The example results show that the proposed method can effectively improve the economic benefits of the multi-microgrids operation and the local consumption capacity of distributed new energy, and significantly improve the energy storage utilization rate.