1.College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.Yancheng Power Supply Company of State Grid Jiangsu Electric Power Co., Ltd., Yancheng 224005, China;3.Shibei Power Supply Company of State Grid Shanghai Municipal Electric Power Company, Shanghai 200072, China

The randomness of large-scale electric vehicles (EVs) connected to power grid and wind power output increases the difficulty of safe and economic operation of power system. In view of the unpredictable characteristics of wind power output and considering operational benefits of system and EV aggregators, a robust two-layer stochastic optimal dispatch model of wind power, thermal power and EVs is established. In order to improve the solution efficiency, the interaction between EVs and power grid is constructed based on the approximate Benders algorithm. In addition, in order to solve the problem of difficult coordination and optimization between large-scale EVs, the coupling relationship between individual EVs is decoupled by the auxiliary problem principle, and the joint optimization of EV groups is transformed into the parallel computation of a single EV dispatch, which realizes the individual dispatch of EV. Finally, the simulation analysis of the improved IEEE 39-bus system is carried out to verify the effectiveness of the proposed model and algorithm.