Optimal Configuration Scheme of Fast Electric Vehicle Charging Station with Photovoltaic in DC Distribution Network

被引：0
|
作者：
Chen H. [1 ]
Xia F. [1 ]
Yuan D. [2 ]
Liu Y. [3 ]
Chen L. [1 ]
Qin X. [1 ]
机构：
[1] School of Electrical Engineering and Automation, Wuhan University, Wuhan
[2] State Grid Jiangsu Electric Power Co., Ltd., Nanjing
[3] Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd., Nanjing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 16期
关键词：
DC distribution network; Fast electric vehicle charging station with photovoltaic; Improved non-dominant sequencing genetic algorithm; Operation efficiency; Optimal configuration;
D O I：
10.7500/AEPS20191219005
中图分类号：
学科分类号：
摘要：
In order to reduce the investment and operation cost of charging stations while improving the operation efficiency of DC distribution network, an optimal configuration method of fast electric vehicle charging stations with photovoltaic is proposed. Firstly, the energy exchange strategy of charging piles, photovoltaic cells and energy storage systems in charging stations is described. Secondly, the characteristics of energy exchange efficiency-load rate for DC-DC converters are analyzed, and the optimization model is built to improve the access position of charging stations and installation capacity of every unit, which takes the highest average system operation efficiency and the lowest investment operation cost as objective function. The improved non-dominant sequencing genetic algorithm (NSGA-Ⅱ) is used to solve Pareto optimal solution for the multi-objective optimization, and the optimal configuration method is obtained. Finally, taking the practical project of medium- and low-voltage DC distribution network with double single-ring structure as an example, the comparision between the proposed optimal configuration method and the original capacity expansion planning scheme of charging stations verifies the effectiveness and feasibility of the proposed method. © 2020 Automation of Electric Power Systems Press.
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页码：53 / 60
页数：7
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