电力系统自动化Issue(4)：71-77,7.DOI:10.7500/AEPS20150429013
居民小区电动汽车充电负荷有序控制策略
A Coordinated Charging Control Strategy for Electric Vehicles Charging Load in Residential Area
王姝凝 1杨少兵1
作者信息
- 1. 北京交通大学电气工程学院，北京市 100044
- 折叠
摘要
Abstract
The development of electric vehicles (EVs) is facing such actual difficulties as limited capacity of transformer in the residential area and lack of operating motivation on the part of the residential property.To solve these problems,a coordinated control strategy for EV charging load is studied,which is mainly aimed at avoiding transformer overload and maximizing charging income.First,a flexible method,named grid picking method,is proposed to conveniently satisfy transformer capacity and plan the charging period.Second,take minimizing charging expenses as the objective function based on time-of-use electricity price,and design the method and flow of an optimal charging control strategy using the genetic algorithm.Lastly, Monte Carlo method is used to simulate and analyze cases in point.Results show that the implication of transformer capacity limits of the grid picking method can simplify the coordinated charging plan and make it more suitable for solution by the optimization algorithm.The coordinated charging strategy can effectively shift peak load and reduce charging expenses,thereby increasing charging revenues and initiative to operate.关键词
电动汽车/有序充电/网格选取法/遗传算法/蒙特卡洛法Key words
electric vehicle(EV)/coordinated charging/grid picking method/genetic algorithm/Monte Carlo method引用本文复制引用
王姝凝,杨少兵..居民小区电动汽车充电负荷有序控制策略[J].电力系统自动化,2016,(4):71-77,7.
