【目的】 多个综合能源微网与共享储能电站协同运行是未来能源发展的重要方向之一，然而可再生能源出力与电价的不确定性以及各微网与共享储能间交易的欺诈行为对系统运行构成挑战，为此，提出了一种考虑多重不确定性和博弈欺诈的多微网-共享储能系统运行优化策略。【方法】 考虑微网与共享储能间的协同运行，建立多微网-共享储能系统纳什谈判优化模型，并将原问题转换成系统电能交互和合作收益分配子问题。前者采用Wasserstein分布鲁棒应对新能源出力与电价的不确定性并实现系统效益最大化，后者建立考虑共享储能与微网间欺诈行为的中介交易机制，实现系统欺诈均衡。模型采用自适应交替方向乘子法进行分布式求解。【结果】 仿真结果表明，相较于独立运行，本文所提系统合作模型使收益提升8.05%，碳排放降低27.49%，验证了其提升主体效益的有效性。【结论】 Wasserstein分布鲁棒与欺诈中介交易机制确保了系统在不确定环境及欺诈风险下的鲁棒性与合作稳定性。

[Objective] The coordinated operation of multiple integrated energy microgrids with a shared energy storage facility represents a key direction for future energy development. However， uncertainties in renewable energy generation and electricity prices， coupled with potential fraudulent trading behavior between microgrids and the shared energy storage system， pose challenges to system operation. To address this， this study proposes an operational optimization strategy for multi-microgrid-shared energy storage systems that accounts for multiple uncertainties and gaming fraud. [Methods] Considering the coordinated operation between microgrids and shared energy storage， a Nash bargaining optimization model is established for the multi-microgrid-shared energy storage system. The original problem is decomposed into two subproblems： system energy exchange and cooperative benefit allocation. The energy exchange subproblem employs a Wasserstein distributionally robust approach to address the uncertainties in renewable energy generation and electricity prices while maximizing system benefits. The benefit allocation subproblem establishes an intermediary trading mechanism that accounts for fraudulent behavior between shared energy storage and microgrids to achieve a system fraud equilibrium. The model is solved using the adaptive alternating direction method of multipliers （ADMM）. [Results] Simulation results demonstrate that， compared to independent operation， the proposed cooperative system model increases revenue by 8.05% and reduces carbon emissions by 27.49%， thereby validating its effectiveness in enhancing the benefits for all participants. [Conclusions] The Wasserstein distributionally robust approach and the fraud-mitigating transaction mechanism ensure system robustness and cooperative stability in the presence of uncertainty and fraud risks.