基于需求响应的电动汽车经济调度

提出了一种基于需求响应的电动汽车充电策略，根据电网实时电价信息优化电动汽车用户充电电价触发值，降低用户充电成本。同时，研究了含大规模电动汽车的电力系统机组组合问题。在此基础上建立了基于需求响应的电动汽车经济调度模型，通过对电动汽车用户行为特性的预测，以电网公司收益最大化为目标，优化制定电动汽车充电电价，转移电动汽车充电负荷。算例分析结果表明，提出的经济调度模型可以起到降低峰谷差率的作用，且与无序充电情景相比，能够明显降低系统的运行费用，可以实现电动汽车大规模接入电网时的经济调度。

Economic Dispatch of Electric Vehicles Based on Demand Response

This paper proposed a charging control strategy for electric vehicles （EVs） based on demand response， in which the threshold of charging price was set according to the real-time price information in order to reduce charging costs. At the same time， this paper studied the power system unit commitment problem containing large-scale EVs. On this basis， the economic scheduling model of EVs was established based on the demand response according to the prediction of the EV users’ behavior characteristics， which took the maximum profit of power grid corporation as the goal and optimized the charging price of EVs to transfer charging load. Simulation result shows that the proposed economic dispatch model can reduce the peak-valley ratio， and significantly reduce the operation cost of the system compared with the disorderly charging scenario， which can realize the economic dispatch of large-scale EVs access to power grid.