The Rapid and Coordinated Charging Strategy for Private Electric Vehicles

	The Rapid and Coordinated Charging Strategy for Private Electric Vehicles
	Li, Hengjie 1,2; Wen, Lihua 1,2; Chen, Wei 1,2; Gong, Xu 1,2; Zeng, Xianqiang 1,2
	2018
关键词	electric vehicles coordinated charging multi-objective optimization genetic algorithm
页码	196-200
英文摘要	In order to solve the problem of the rapid and coordinated charging of private electric vehicles, two coordinated charging strategies were formulated under the rapid charging mode. One is to establish a coordinated charging strategy that minimizes the total charging time of electric vehicles, the minimum of power standard deviation and the peak-valley difference of distribution networks. The multi-objective function is normalized to a single-target solution by weighted summation method. The other is to use the total charging time of electric vehicles as a constraint to achieve peak clipping and filling of the distribution network. Taking the collected traffic data of weekdays and holidays in Lanzhou City as an example, two kinds of coordinated optimization schemes were simulated and analyzed on weekdays and holidays conditions respectively, and the genetic algorithm was used to solve the problem. The results show that the total charging time is the smallest when charging is uncoordinated charging, and peak clipping and filling effect of the distribution network is the worst; when electric vehicles do not consider the time target for coordinated charging, peak clipping and filling effect of the distribution network is the best and the total charging time is the longest; when electric vehicles contain the time target for coordinated charging, peak clipping and filling effect of the distribution network is intermediate.
会议录	PROCEEDINGS OF 2018 IEEE 3RD ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC 2018)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
资助项目	National Natural Science Foundation of China[51767017] ; Gansu Provincial Natural Science Foundation of China[1508RJZA083]
WOS研究方向	Automation & Control Systems ; Computer Science ; Engineering
WOS记录号	WOS:000457576900040
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36138]
专题	电气工程与信息工程学院
通讯作者	Li, Hengjie
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Gansu, Peoples R China 2.Lanzhou Univ Technol, Key Lab Gansu Adv Control Ind Proc, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Li, Hengjie,Wen, Lihua,Chen, Wei,et al. The Rapid and Coordinated Charging Strategy for Private Electric Vehicles[C]. 见:.