Optimal Regulation Strategy for Electric Vehicle Load Clusters based on Demand Response

Pengfei Bian, Yuanxin Liu, Wen Wang, Ye Yang, Shu Su, Shanshan Shang, Mingguang Liu
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Abstract

With the rapid increase of electric vehicle ownership, the disorderly grid-connected charging of electric vehicles will bring great uncertainty to the smooth load of the distribution network, so it is important to optimize the regulation of electric vehicle clusters. To this end, an optimal regulation strategy for electric vehicle load clusters based on Demand Response is proposed. Through the analysis of the source load characteristics of electric vehicles, the elastic service rate and electricity incentive are innovatively proposed. Finally, the data of electric vehicles in the northern Hebei region is used for example simulation. The results show that the demand response-based EV cluster optimization and regulation strategy can reduce the charging cost of users and get a better dispatching effect while reducing the system load fluctuation.
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基于需求响应的电动汽车负荷集群最优调节策略
随着电动汽车保有量的快速增长,电动汽车的无序并网充电将给配电网的平稳负荷带来很大的不确定性,因此对电动汽车集群的优化调控具有重要意义。为此,提出了一种基于需求响应的电动汽车负荷集群最优调节策略。通过对电动汽车源负荷特性的分析,创新性地提出了弹性服务率和电力激励。最后,以冀北地区的电动汽车数据为例进行了仿真。结果表明,基于需求响应的电动汽车集群优化与调控策略可以在降低系统负荷波动的同时,降低用户充电成本,获得较好的调度效果。
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