微型电脑应用2025，Vol.41Issue(4)：115-118,122,5.
基于启发式贪婪算法的电动汽车充电调度优化
Electric Vehicle Charging Scheduling Optimization Based on Heuristic Greedy Algorithm
摘要
Abstract
The high penetration ratio of electric vehicles in the distribution network has brought significant operational challen-ges to the distribution network.To optimize the charging scheduling problem of electric vehicles,an electric vehicle charging scheduling optimization method based on heuristic greedy algorithm is proposed.This method takes into account the effects of the non-linearity of the three-phase formula,the important constraints of distribution network,and the uncertainty of EV load and performance on EV charging scheduling.A multi-cycle three-phase power flow is utilized to optimize charging cycle schedu-ling of connected electric vehicles within 24 h.The proposed method is tested on IEEE low-voltage distribution test feeder to verify the effectiveness of the proposed charging scheduling method.关键词
电动汽车/启发式贪婪算法/充电调度/优化控制Key words
electric vehicle/heuristic greedy algorithm/charging scheduling/optimal control分类
动力与电气工程引用本文复制引用
叶振豪,张宗包,于洋洋,武婕..基于启发式贪婪算法的电动汽车充电调度优化[J].微型电脑应用,2025,41(4):115-118,122,5.基金项目
深圳供电局有限公司技改项目(090000GS62201342) （090000GS62201342）
