电动汽车供电能源优化组合及智能充电策略

为评估电动汽车充电过程中不同种类可再生能源的经济性，构建了智能充电优化模型，得出电动汽车供电电源的最佳电能组合，所涉及发电能源包括风电、光伏发电以及通过可再生能源配额进行补偿的传统化石燃料发电。通过对可再生能源利用情况和电动汽车充电特性进行分析，采用启发式动态规划方法建立智能充电模型，研究风能、太阳能接入电动汽车充电系统后与传统发电能源的协同优化机制，并对电动汽车充电能源组合中各能源的经济性进行敏感性分析。结果表明，电动汽车智能充电策略有利于提高可再生能源的利用率，降低其负荷不稳定性对电力系统的影响，并且风力发电接入充电系统具有成本优化效益，能有效降低充电成本。

Energy Supply Optimization and Intelligent Charging Strategy of Electric Vehicles

In order to evaluate the economy of different renewable energy for electric vehicle charging, this paper constructed the optimization model of intelligent charging, and obtained the best power combination for the power supply of electric vehicle, including wind power, photovoltaic power generation and traditional fossil fuel power compensated by renewable portfolio standard. Based on the analysis of renewable energy utilization status and electric vehicle charging characteristics, an intelligent charging model was established using heuristic dynamic programming method, which aimed at studying the collaborative optimization mechanism of wind, solar and conventional energy generation in the electric vehicle charging system. Additionally, sensitivity analysis was carded out on the energy economy in energy resource combination for electric vehicle charging. The results show that smart charging strategies for electric vehicle can improve the utilization of renewable energy, and reduce the impact of load instability on the power system; as well the wind power in the charging system has the cost optimization efficiency which can effectively reduce the charging cost.