CAJ | 학술논문

充电站的建设与运营是电动汽车发展的基础性工程。以持续时段内配电网负荷方差最小为优化目标，以充电站的规模和用户需求为约束条件，基于粒子群优化算法提出了结合配电网负荷特性的充电站有序充电的动态优化方案。利用概率分布随机模拟的方法模拟用户的运行特征，对不同渗透率下，将动态优化的有序充电和到站即充的无序充电二者在负荷特性上进行对比分析。研究结果表明，通过动态有序充电优化方案可以降低负荷波动，优化配网特性，起到移峰填谷的作用。
충전참적건설여운영시전동기차발전적기출성공정。이지속시단내배전망부하방차최소위우화목표，이충전참적규모화용호수구위약속조건，기우입자군우화산법제출료결합배전망부하특성적충전참유서충전적동태우화방안。이용개솔분포수궤모의적방법모의용호적운행특정，대불동삼투솔하，장동태우화적유서충전화도참즉충적무서충전이자재부하특성상진행대비분석。연구결과표명，통과동태유서충전우화방안가이강저부하파동，우화배망특성，기도이봉전곡적작용。
The construction and operation of electric vehicle (EV) charging station is the basic project in the EV industry development. This paper presents a dynamic optimizing method to improve the load characteristics of the distribution system based on the particle swarm optimization (PSO) algorithm. The optimizing strategy is operated by minimizing the load variance for a period as objective function, and the scale of charging station and the demands of customers as constraints. The customers’ travel performance is simulated by the stochastic method of probability distribution. And load characteristics of coordinated and uncoordinated charging are compared in different permeability. The conclusion shows that the dynamic optimizing strategy takes effect in mitigating load variance, optimizing distribution system characteristics and shifting peak load.