Orderly charging method of electric vehicle in charging station of residential area

李敬航; 杨德玲; 赖伟坚; 林泽宏; 张世斌; 李捷; 管维灵

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Orderly charging method of electric vehicle in charging station of residential area

更新时间：2026-03-05

- Orderly charging method of electric vehicle in charging station of residential area
- Vol. 23, Issue 3, (2021)
- 作者机构：
  
  1. 广东电网有限责任公司东莞供电局,广东,东莞,523000
  2. 苏州华天国科电力科技有限公司,江苏,苏州,215000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2021
- 稿件说明：
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李敬航, 杨德玲, 赖伟坚, et al. Orderly charging method of electric vehicle in charging station of residential area[J]. 2021, 23(3).
DOI：

李敬航, 杨德玲, 赖伟坚, et al. Orderly charging method of electric vehicle in charging station of residential area[J]. 2021, 23(3). DOI：

摘要

对充满随机性的电动汽车进行有序充电管理，是当今“绿色出行”时代亟待解决的问题。基于数据挖掘技术首先建立起电动汽车的数学模型，以北京市某小区电动汽车出行历史数据为例，利用模糊C均值聚类算法对车主的行驶行为、入网电动汽车的初始电池荷电状态进行分析，把握电动汽车负荷特性。基于马尔科夫链的思想建立由精炼后的多条典型电动汽车负荷模式转移概率矩阵组成的模型，对电动汽车的随机动态变化过程进行描述，并应用多种群遗传算法求解电动汽车的有序充电问题。以小区充电站为例，并与其他方法进行对比，验证了本文模型和方法的有效性。

Abstract

How to orderly charge electric vehicles with randomness is an urgent problem to be solved in“green travel”period today. Firstly

a mathematical model of electric vehicles based on advanced data mining technology is established. To grasp the load characteristics of the electric vehicle

the fuzzy C-means clustering algorithm is used to analyze the driving behavior of the owner and the initial battery state of the incoming electric vehicle taking the historical data of electric vehicle travel in a community in Beijing as an example. Based on the idea of Markov chain

a model consisting of several typical electric vehicle load mode transition probability matrices is established to describe the stochastic dynamic process of electric vehicles. Multiple population GA is applied to solve the orderly charging problem of electric vehicles.Taking the community charging station as an example and comparing with other methods

the effectiveness of the model and method is verified.

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