Coordinated charging optimization strategy of electric vehicles

期刊:Chemical Engineering Transactions , 年:2016 . 卷:51   页码:1225-1230

语种: English 

原文链接:http://doi.org/10.3303/CET1651205

摘要
The large-scale uncoordinated charging threatens the safety operation of power grid. In the paper, two coordinated charging modes were proposed: automatic on-off charging mode and the smoothly adjusting charging mode. The 2 coordinated charging modes were established based on existing power distribution networks in residential areas and the constraint conditions of the distribution transformer and circuit capacity in order to transmit maximum electric power to electric vehicles. The established mode formulas were solved with stochastic simulation and modified particle swarm algorithm. Taking the charging station in one residential area in Shenzhen as an example, we performed the simulation of vehicle charging according to the uncoordinated charging mode and the 2 coordinated charging modes. We compared the voltage distribution in the three modes respectively. Based on the computation of the profit amount and the load volatility, we proposed the concept of cost saving so as to compensate for the expense of involved users. The simulation results showed that the two coordinated modes could raise user satisfaction and promote the smooth operation of power grid. Charging management system can choose one operation mode as required. Copyright © 2016, AIDIC Servizi S.r.l.
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关键词
Charging managements - Constraint conditions - Coordinated charging - Distribution transformer - Optimization strategy - Particle swarm algorithm - Power distribution network - Stochastic simulations
作者信息
通讯作者:
     Liu, Xingping(B12090018@hnu.edu.cn)
作者机构:
     [1] College of Electrical and Information Engineering, Hunan Institute of Engineering, Hunan Provincial Key Laboratory of Wind Generator and Its Control, Xiangtan; 411101, China
     [2] Hunan Mass Media Vocational Technical College, Changsha; 410100, China
     [3] Powerchina Zhongnan Engineering Co. Ltd., Changsha; 410014, China
     [4] Hunan province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion, Xiangtan; 411101, China