为促进微网中新能源消纳与低碳经济运行，构建了含共享储能电站的多能微网群模型。首先，建立了含电、热、气的多能微网模型，并由多个多能微网组成合作联盟共同建立共享储能。其次，考虑风光出力的相关性和不确定性，针对多能微网群构建多目标鲁棒优化调度模型，采用Copula-多场景置信间隙决策理论，旨在实现总成本最小与碳排放量最少的双重目标。最后，考虑联盟内成员的能源交互贡献、风险水平、碳减排贡献，利用改进Shapely值法量化各联盟主体的贡献，以公平分配合作剩余。算例结果表明，所提模型相比独立配置储能，总成本降低了318.64%，碳排放减少了30.24%；且实现各主体对联盟的综合贡献水平与合作剩余分配的精准匹配，提升多能微网参与合作的积极性。

In order to promote new energy consumption and low-carbon economic operation in microgrids, a multi-energy microgrid cluster model with shared energy storage power stations is constructed. Firstly, a multi-energy microgrid model with electricity, heat and gas is established, and multiple microgrids form a cooperative alliance to jointly establish shared energy storage. Secondly, acknowledging the intricate correlation and inherent unpredictability of wind and solar energy outputs, a refined multi-objective robust optimization scheduling model for the multi-energy microgrid cluster is formulated. This approach integrates Copula-multi-scenario confidence gap decision theory to attain the dual objectives of cost minimization and carbon emission reduction. Finally, considering the energy interaction contribution, risk level, and carbon reduction contribution of the members in the alliance, the benefit of the improved Shapely value method is used to quantify the contribution of each alliance subject and equitably distribute the cooperation surplus. The example results show that the proposed model reduces the total cost by 18.64% and carbon emission by 30.24% compared with the independent allocation of energy storage, and it realizes the precise matching between the comprehensive contribution of each subject to the alliance and the distribution of the cooperation surplus, so as to enhance the enthusiasm of the multi-energy microgrids to participate in the cooperation.