随着能源互联网战略的深入实施，可再生能源与微电网的参与度不断攀升，系统中不确定性因素显著增加，各参与主体间的合作与竞争关系变得愈发错综复杂。从垂直和水平两个层面建立了电网、服务商及多微电网混合博弈双层电能交易体系。在垂直层面提出主从博弈的思想，以服务商为主导者、微电网为从属者。构建不确定性问题分阶段优化的分段鲁棒优化模型，实现不确定性的差异化调度，提高鲁棒优化的灵活性。利用布尔-列和约束生成（Bool-Column and constraint generation，B-C&CG）算法求解模型，并把整个模型分为主问题和子问题：主问题优化电价不确定性问题，子问题优化源荷不确定问题。在水平层面搭建纳什谈判模型，通过交替方向乘子（alternating direction method of multipliers，ADMM）算法求解水平层面微电网之间的电能交互模型。利用分布式求解方法得出交易价格策略，再结合拉格朗日乘子法，交替优化各分部并更新乘子，得出各微电网之间的最佳交易电价。仿真结果表明，所提方案兼顾了系统的鲁棒性、经济性及灵活性，缩减了各微电网的成本并充分保护了各微网的隐私。

With the in-depth implementation of the energy Internet strategy, the participation of renewable energy and microgrid continues to rise．The uncertainty factors in the system have increased significantly, the cooperation and competition among the participating entities have become more and more complicated．A two-layer electric energy trading system with mixed game among power grid, service provider and multi-microgrid is established from vertical and horizontal levels．At the vertical level，the idea of master-slave game is proposed，with service provider as the leader and microgrid as the subordinate．The uncertainty problem is unified in the second stage optimization of the rough and error-free，the segmented robust optimization model of uncertainty stage optimization is constructed，the differential scheduling of uncertainties is realized，and the flexibility of robust optimization is improved．Using Bool-Column and constraint generation(B-C&CG) algorithm to solve the model，and the whole model is divided into the main and sub problems. The main problem optimizes the electricity price uncertainty problem，and the sub-problem optimizes the source load uncertainty problem．In a horizontal level, Nash negotiation model is structured，using the alternating direction method of multipliers(ADMM) algorithm to solve the horizontal level power interaction model between the microgrid．Using the distributed solution method, the trading price strategy is obtained．Then combined with Lagrange multiplier method，each part is optimized alternately and the multiplier is updated．The optimal transaction price of each microgrid is obtained．The simulation results show that the proposed scheme takes into account the robustness，economy and flexibility of the system，reduces the cost of each microgrid and fully protects the privacy of each microgrid．