电力系统自动化2016，Vol.40Issue(22)：43-48,6.DOI:10.7500/AEPS20151222007
基于集群响应的规模化电动汽车充电优化调度
Optimal Charging Scheduling for Massive Electric Vehicles Based on Cluster Response
摘要
Abstract
The charging demand and load distributing of massive electric vehicles(EVs)should obey some regularity.From the perspective of cluster response,the dimensions of the EV scheduling problem will be greatly reduced and the efficiency of optimization calculations will be improved.An optimization model of local agents for minimizing peak-valley difference is established based on the cluster response characteristics of EVs.Moreover,a real-time pricing model for EVs cluster response is built according to EVs”sensitivity to charging price.The charging behavior of EVs is guided through charging price so as to realize the strategy of power grid peak shaving.By taking typical distribution network load data of a certain area as a test case, the effectiveness of the charging load regulation method is verified.Finally,the EVs”sensitivity to real-time pricing response and cost savings of EVs and local agents of different sensitivity are discussed.关键词
电动汽车/集群响应/协调充电/需求侧管理/充电电价Key words
electric vehicle (EV)/cluster response/charging coordination/demand side management/charging price引用本文复制引用
陈静鹏,艾芊,肖斐..基于集群响应的规模化电动汽车充电优化调度[J].电力系统自动化,2016,40(22):43-48,6.基金项目
国家自然科学基金资助项目(51577115) （51577115）
国家重点研发计划资助项目(2016YFB0901304)。 （2016YFB0901304）
