Abstract: Aiming at problems faced by the independent operation of microgrids, such as the high operating cost, and the great influence by the uncertainty of the renewable energy output and the multi-energy load power, a multi-microgrid cooperative operation based on a hybrid two-staged robust optimization is proposed. Firstly, for coping with the challenges of the dual uncertainties of the source and load and based on the traditional two-staged robust optimization, a hybrid two-staged robust optimization driven by the worst probability scenarios based on the multi-scenario data is propounded, and the parallel computable column and constraint generation (C&CG) algorithm is presented to improve the solution efficiency. Then, based on the systematic framework of the multi-microgrid peer-to-peer distributed energy transactions, the multi-microgrid cooperative cost minimization problem and the benefit distribution problem are constructed according to the Nash bargaining theory, and the alternating direction method of multipliers coupled with the parallel computable C&CG algorithms is used to solve it. Finally, according to the different contribution ratios of each of the microgrids, an asymmetric Nash bargaining mechanism based on the contributions of the peer-to-peer power trading is designed to distribute the cooperative benefits of each of the microgrids. Finally, the results show that the proposed method is able to balance the robustness, economy and privacy of the system and realize the fair and reasonable income distribution of each of the microgrids.