直流配电网中含光伏的电动汽车快速充电站优化配置方案

陈红坤; 夏方舟; 袁栋; 刘洋; 陈磊; 覃新宇

doi:10.7500/AEPS20191219005

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直流配电网中含光伏的电动汽车快速充电站优化配置方案

学术研究 | 更新时间：2025-06-16

- 直流配电网中含光伏的电动汽车快速充电站优化配置方案
- Optimal Configuration Scheme of Fast Electric Vehicle Charging Station with Photovoltaic in DC Distribution Network
- 电力系统自动化-方正平台 2020年44卷第16期页码：53-60
- 作者机构：
  
  1.武汉大学电气与自动化学院, 湖北省武汉市 430072
  2.国网江苏省电力有限公司，江苏省南京市 210024
  3.国网江苏省电力有限公司电力科学研究院，江苏省南京市 211103
- 作者简介：
  
  陈红坤(1967—)，男，博士，教授，主要研究方向：智能电网运行与控制、电力系统安全评估、电能质量分析。E-mail：chkinsz@163.com
  夏方舟(1992—)，男，通信作者，博士研究生，主要研究方向：电动汽车有序充电。E-mail：xiafz92@hotmail.com
  袁栋(1981—)，男，高级工程师，主要研究方向：直流配用电技术、配电网智能运检及配电自动化。E-mail：13584225115@163.com
- 基金信息：
  
  国家重点研发计划资助项目(2018YFB0904700)
- DOI：10.7500/AEPS20191219005
  中图分类号：
- 收稿日期：2019-12-19，
  
  修回日期：2020-05-12，
  
  网络出版日期：2020-06-18，
  
  纸质出版日期：2020-08-25
- 稿件说明：
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陈红坤,夏方舟,袁栋等.直流配电网中含光伏的电动汽车快速充电站优化配置方案[J].电力系统自动化,2020,44(16):53-60.

CHEN Hongkun,XIA Fangzhou,YUAN Dong,et al.Optimal Configuration Scheme of Fast Electric Vehicle Charging Station with Photovoltaic in DC Distribution Network[J].Automation of Electric Power Systems,2020,44(16):53-60.
陈红坤,夏方舟,袁栋等.直流配电网中含光伏的电动汽车快速充电站优化配置方案[J].电力系统自动化,2020,44(16):53-60. DOI： 10.7500/AEPS20191219005.

CHEN Hongkun,XIA Fangzhou,YUAN Dong,et al.Optimal Configuration Scheme of Fast Electric Vehicle Charging Station with Photovoltaic in DC Distribution Network[J].Automation of Electric Power Systems,2020,44(16):53-60. DOI： 10.7500/AEPS20191219005.

摘要

为在提高直流配电网运行效率的同时降低充电站的投资与运营成本，文中提出了一种含光伏的电动汽车快速充电站的优化配置方法。首先，描述充电站内充电桩、光伏电池、储能系统的能量交换策略，然后，分析DC-DC变流器的电能转换效率-负载率特性，并以系统平均运行效率最高和充电站投资运行成本最低为目标函数建立优化模型，对充电站的接入位置以及各单元的安装容量进行优化。利用改进非支配排序遗传算法(NSGA-Ⅱ)求解该多目标优化的Pareto最优解，得出优化配置方案。最后，以采用双单环结构的中低压直流配电网实际工程为算例，将所提出的优化配置方法与充电站进行扩容的原有扩展规划方案进行对比，验证了所提优化配置方法的有效性和可行性。

Abstract

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.

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Keywords

references

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