电动汽车集群充放电演化博弈协同策略

针对多电动汽车参与电网需求响应互动场景下电动汽车充放电协同调度需求，提出一种电动汽车聚合商动态定价并指导电动汽车规模化入网参与电力需求响应调度的两阶段博弈模型。首先，构建电动汽车聚合商动态定价下计及电动汽车聚合商成本和电动汽车充放电价格的非合作博弈模型。其次，提出基于logit协议的电动汽车充放电调度多策略集演化博弈模型。最后，联合求解两阶段博弈的演化均衡和纳什均衡，得到各主体的最优策略。算例仿真表明，所提模型能有效实现电网负荷的削峰填谷，同时兼顾电动汽车聚合商和电动汽车用户的经济利益。

Evolutionary game coordination strategy of electric vehicle cluster charging and discharging

There is a need for electric vehicle charging and discharging coordination scheduling in the scenario of multiple electric vehicles participating in the grid demand response interaction. Thus a pricing and scheduling game model is proposed to guide the electric vehicle aggregators to dynamically price and participate in the grid demand response scheduling at scale. First, a non-cooperative game model is constructed under the dynamic pricing of the EV aggregator. This takes into account the cost of the EV aggregator and the charging and discharging price of the EV. Secondly, a multi-strategy set evolutionary game model for electric vehicle charging and discharging scheduling based on logit protocol is proposed. Finally, the evolutionary and Nash equilibria of the price-scheduling game are jointly established to obtain the optimal strategy of each agent. The simulation results show that the proposed model can effectively realize the peak shaving and valley filling of power grid load, and can take into account the economic interests of electric vehicle aggregators and electric vehicle users at the same time.