期刊论文

中文

电力学报

1005-6548

2018

33

1

32-40

10.13357/j.cnki.jep.002692

本校为第一机构

研究提出了一种对电网需求侧负荷变化进行建模和控制的方法,考虑了电动汽车开始充电时间,充电时长和初始充电状态（SOC）的随机性,建立了接近现实世界住宅配电网中电动汽车充放电的随机模型,提出了基于粒子群优化算法的智能充电和车对网（V2G）策略。该控制策略主要用于提高电能质量和平滑电网负荷需求。然后,在不同的电动汽车渗透水平下对三种不同的充电形式进行模拟:无序充电、无V2G有序充电和有V2G有序充电。仿真结果表明:无序充电会严重增加峰值负荷,造成较大的电压偏移。而提出的有序充电方法可以有效降低电压偏差,平滑负载需求曲线。同时,当在所提出的有序充电中考虑V2G时,在较低的PHEV渗...

A methodology for modeling and controlling the load demand was proposed.To take the stochastic nature of start charging time,charging during and initial state of charge（SOC）into consideration,this paper built a stochastic model for PHEV in a residential distribution grid close to real-world scenarios.The authors proposed a smart charging and vehicle-to-grid（V2G）strategy based on particle swarm optimization（PSO）algorithm.The objective of this control strategy is to improve the power quality and flatten the load demand in the studied system...