Abstract: The collaborative operation mode of the shared energy storage combined with microgrid clusters enables efficient allocation and utilization of energy storage resources,while promoting flexible scheduling of distributed microgrids. In response to the optimization of the operation of the shared energy storage joint new energy microgrid clusters,a P2P（peer to peer）trading-based game mechanism is proposed, and the information gap decision theory is introduced to measure the uncertainty of renewable energy. In addition,a P2P trading optimization model is established based on the Stackelberg game. Finally,a combined distributed algorithm with internal and external alternating iterations is used to solve the model.The research results indicate that the introduction of shared energy storage operators increases the total benefits of microgrid groups by 8.7%. The proposed P2P trading mechanism for the shared energy storage joint microgrid group reduces dependence on the large power grid and helps to balance the economy and stability of system operation.