微型电脑应用2023，Vol.39Issue(11)：5-9,5.
电动汽车有序充电多目标优化方法
Multi-objective Optimization Method for Orderly Charging of Electric Vehicles
摘要
Abstract
A large scale of unregulated charging of electric vehicles can lead to excessive fluctuation in grid load and significant voltage deviation.Therefore,it is necessary to optimize the charging behavior of electric vehicles in a multi-objective manner.By analyzing the driving behavior and charging habits of electric vehicle drivers,an electric vehicle charging load model is estab-lished.Based on the particle swarm optimization algorithm,binary coding is introduced to solve the optimization function and a-chieve the optimization of orderly charging strategies.Tests show that by utilizing the proposed method to optimize the char-ging behavior of vehicles in an orderly manner,the load on charging stations fluctuates within the range of 2000 kW to 2500 kW,with a tendency towards smoother fluctuations,the voltage deviation remains within 3.00％,and the network loss rate is around 2％,which effectively reduces the loss rate of the power grid and provides assurance for the stable operation of the power system.关键词
充电负荷模型/粒子群优化算法/有序充电/多目标优化Key words
charging load model/particle swarm optimization/orderly charging/multi-objective optimization分类
信息技术与安全科学引用本文复制引用
洪祥,黄建刚,钱科军,郑众..电动汽车有序充电多目标优化方法[J].微型电脑应用,2023,39(11):5-9,5.基金项目
国家自然科学基金(52107005) （52107005）
