摘要
大量电动汽车无序充电会对电网造成巨大的冲击,对其进行合理调度不仅可以减小冲击,还能激发潜在的经济效益。首先具体分析每一项潜在价值,建立配网中电动汽车经济效益评估模型;然后应用粒子群算法,以经济效益最大为目标函数,基于充电需求分类的调度策略,利用电动汽车支持配网高峰用电并充当备用容量,得到每一辆电动汽车各时段的充放电功率。算例结果证明了该模型和调度策略的有效性。
Impact of numerous electric vehicles random charge from electric grid is significant,and reasonable dispatch can not only reduce the impact,but also stimulate the potential economic benefits.Initially,potential values are specifically analyzed,economic benefit assessment model of electric vehicles in distribution network is established.Then,with maximized economic benefits,discharge power of electric vehicles is calculated by particle swarm optimization algo-rithm which is utilized to support peak demand and serve as reserve capacity based on charge demand classification.The validity of the model and control strategy is proved by the results of calculation example.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2015年第3期42-47,共6页
Proceedings of the CSU-EPSA
基金
国家电网公司科技项目(电动乘用车充换电技术研究与示范)
关键词
电动汽车
配电网
经济效益
调度策略
粒子群算法
electric vehicle
distribution network
economic benefit
scheduling strategy
particle swarm optimization（PSO）algorithm
