Shared energy storage is a key technology for energy reform, the alliance of multi-park data center microgrids and shared energy can realize the energy complementarity and resource linkage among the subjects, which can improve the economic efficiency of the system. To this end, a two-stage robust multi-park data center microgrids and shared energy storage cooperative game model considering wind power and photovoltaic uncertainty is proposed. Firstly, an alliance is formed between each park"s microgrids and community-shared energy storage to construct an optimized operation model for electricity trading. Then, the uncertain information of wind power and photovoltaic output is represented in the form of a box-type uncertainty set to build a two-stage robust optimal dispatch mode, and based on Nash negotiation theory, a multi-park microgrid shared energy storage multi-entity cooperative operation model is established, and it is equivalent to the alliance cooperation cost minimization subproblem and the negotiation subproblem of each entity"s transaction, the alternating direction multiplier method is used to solve the above two subproblems in a distributed manner. Finally, the simulation results show that the method can effectively reduce the operation cost, and the optimal compensation price for data center users under different robust parameters is obtained through analysis.