电动汽车充电站的最优选址和定容

LIU Zhipeng; WEN Fushuan; XUE Yusheng; XIN Jianbo

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电动汽车充电站的最优选址和定容

更新时间：2025-08-13

- 电动汽车充电站的最优选址和定容
- Automation of Electric Power Systems Vol. 36, Issue 3, Pages: 54-59(2012)
- 作者机构：
  
  1. 华南理工大学电力学院,广东省,广州市,510640
  2. 浙江大学电气工程学院,浙江省,杭州市,310027
  3. 国网电力科学研究院/南京南瑞集团公司,江苏省,南京市,210003
  4. 江西省电力科学研究院,江西省,南昌市,330006
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2012
- 稿件说明：
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LIU Zhipeng, WEN Fushuan, XUE Yusheng, et al. [J]. Automation of electric power systems, 2012, 36(3): 54-59.
DOI：

LIU Zhipeng, WEN Fushuan, XUE Yusheng, et al. [J]. Automation of electric power systems, 2012, 36(3): 54-59. DOI：

摘要

提出了能够计及地理因素和服务半径的2步筛选法，以此来确定充电站的候选站址。以规划期内充电站的总成本（包括投资、运行和维护成本）和网损费用之和最小为目标，考虑了相关的约束条件，构造了电动汽车充电站最优规划的数学模型，并采用改进的原对偶内点法来求解。修改的IEEE 123节点配电系统算例说明了所发展模型和算法的基本特征。

Abstract

A two-step screening method with the environmental factors and service radius of electric vehicle charging stations considered is presented to identify the candidate sites of electric vehicle charging stations. A mathematical model for optimizing electric vehicle charging stations is developed and solved by a modified primal-dual interior point algorithm. This model takes the minimization of electric vehicle charging stations total cost（including investment cost， operation cost and maintenance cost） and the network loss cost as the objective function， and some related constraints are considered. The modified IEEE 123-node distribution system illustrates the essential features of the developed model and algorithm.

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