区域电网优化调度是提高可再生能源消纳水平、提升电力系统可靠性、降低运行成本的重要手段。为此，针对包含电动汽车（electric vehicle，EV）充电站的区域电网提出了基于拍卖的两阶段优化调度方式。第一阶段根据本地可再生能源发电和用电的预测值对区域电网进行日前调度。第二阶段根据发电和用电的实际测量值对日前调度结果进行二次调整。针对第二阶段设计电能拍卖方法，利用EV的充放电能实现区域电网的实时供需平衡，并证明所提的拍卖方法具有激励相容性质，保证EV在拍卖中提交真实的电能需求或供给信息。仿真结果表明所提的两阶段方法能够降低区域电网的运行成本，并使得EV只有在提交真实信息的情况下才能获得最高的效用。

Optimal scheduling for regional power grid is an important means to increase the consumption of renewable energy, enhance the reliability of power systems, and reduce operating costs. Therefore, focusing on a regional power grid including electric vehicle (EV) charging stations, an auction-based two-stage optimal scheduling method is proposed. In the first stage, the regional power grid is scheduled one day ahead based on the predicted values of local renewable energy generation and consumption. In the second stage, the day-ahead scheduling results are adjusted according to the actual measured values of generation and consumption. For the second stage, an electricity auction method is designed to achieve real-time supply-demand balance of the regional power grid by using EV charging and discharging energies. It is proved that the proposed auction method has the property of incentive compatibility, which ensures that EVs submit true energy demand or supply information in the auction. Simulation results show that the proposed two-stage method can reduce the operating cost of the regional power grid and make EVs obtain the highest utilities only when true information is submitted.