文献类型：期刊文献

中文题名：充电站内引导电动汽车有序充电控制方法仿真

英文题名：Simulation of Orderly Charging Control Method for Guided Electric Vehicle in Charging Station

作者：刘燕 王敬敏

第一作者：刘燕

机构：[1]华北电力大学经济与管理学院,河北保定071003;[2]贵州理工学院电气与信息工程学院,贵州贵阳550003

第一机构：华北电力大学经济与管理学院,河北保定071003

年份：2020

卷号：37

期号：2

起止页码：149-153

中文期刊名：计算机仿真

外文期刊名：Computer Simulation

收录：CSTPCD;;北大核心:【北大核心2017】；

基金：保定市新能源汽车充电基础设施专项规划(RHP-C161600941596-1-1)。

语种：中文

中文关键词：充电站;电动汽车;有序充电;控制方法

外文关键词：Charging station;Electric vehicle;Orderly charging;Control method

摘要：传统的电动汽车充电控制通常采用基于多代理、基于T-S模糊控制器、基于交替方向乘子的有序充电控制方法,但这几种方法的电网负荷波动率较高,为此提出一种充电站内引导电动汽车有序充电控制方法。应用滚动优化法对集中充电站进行充电时段划分;结合灰色理论对电动汽车用户短期的用电负荷状况进行预测,通过预测未来一段时间的电动汽车用户用电负荷值,对各个时段电动汽车用户的充电计划进行优化求解,最终实现电动汽车有序充电控制。为了验证上述方法的有效性,与三种传统控制方法进行对比,得出上述方法的充电负荷波动率为49.2%,通过比较可知,所提方法的充电负荷波动率最低,证明了上述方法的有效性。
Traditional charging control of electric vehicles usually adopts the orderly charging control methods based on multi-agents,T-S fuzzy controller and alternating direction multiplier.But these methods have high fluctuation rate of power grid load.Therefore,an orderly charging control method for guiding electric vehicles in charging stations was proposed.Firstly,we used the moving horizon optimization to divide the charging period of the centralized charging station,and predicted the short-term electric load of electric vehicle by the grey theory.By predicting the electric load value for a period of time in the future,we optimized the charging plan of electric vehicle users in each period.Finally,we achieved the orderly charging control for the electric vehicle.In order to prove the validity of this method,we compared it with three traditional methods.The charging load fluctuation rate of the proposed method is 49.2%.We can see that the charging load fluctuation rate of this method is the lowest.Thus,the proposed method is effective.