近年来氢电混动汽车的快速发展有效地缓解了可再生能源“反调峰”特性造成的新型电力系统调峰问题，促进能源-交通耦合及低碳减排。本文重点考虑可再生能源出力不确定性及氢电混动汽车的充能响应对微网调度的影响，以氢电混动汽车作为连接微网多区域之间的纽带，建立了微网两阶段鲁棒博弈模型，同时为了缓解 C&CG 算法在迭代过程中不断往主问题中添加约束造成求解效率低的问题，提出 iNC&CG 算法进行求解。最后，仿真分析结果表明，所提微网两阶段鲁棒博弈模型能够实现微网与氢电混动汽车用户之间的利益均衡，并有效应对可再生能源出力不确定造成的影响，同时也验证了改进算法的优势。

In recent years, the rapid development of Fuel-Cell Hybrid Electric Vehicles (FCHEV) has effectively alleviated the peak-shaving challenges in new power systems caused by the "anti-peak" characteristics of renewable energy, promoting energy-transportation coupling and low-carbon emission reduction. This paper focuses on the impact of renewable energy output uncertainty and the charging response of FCHEV on microgrid optimization scheduling. By utilizing FCHEV as a link between multiple regions of the microgrid, a two-stage robust game model for the microgrid is established. To address the issue of low solving efficiency caused by continuously adding constraints to the master problem during the iteration process of the C&CG algorithm, an improved iNC&CG algorithm is proposed. Finally, simulation results demonstrate that the proposed two-stage robust game model for the microgrid can achieve a balance of interests between the microgrid and FCHEV users, effectively cope with the impact of renewable energy output uncertainty. And the advantages of the improved algorithm in solving such large-scale problems is verified.