基于动态车流模拟的高速公路充电站多目标优化规划

LIU Hong

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基于动态车流模拟的高速公路充电站多目标优化规划

更新时间：2025-08-13

- 基于动态车流模拟的高速公路充电站多目标优化规划
- Automation of Electric Power Systems Vol. 39, Issue 24, Pages: 56-62(2015)
- 作者机构：
  
  智能电网教育部重点实验室, 天津大学,天津市,300072
- 作者简介：
- 基金信息：
- DOI：
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- Published：2015
- 稿件说明：
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LIU Hong. [J]. Automation of electric power systems, 2015, 39(24): 56-62.
DOI：

LIU Hong. [J]. Automation of electric power systems, 2015, 39(24): 56-62. DOI：

摘要

针对当前电动汽车充电站优化规划中未能有效统一运营者与用户之间的综合效益

以及在时序车流对充电等待时间累计影响的分析上比较粗糙等问题

提出一种更为准确的高速公路充电站优化规划模型与方法。首先

构建了以电站投资运营者与汽车用户双方综合效益最大为目标的数学模型;其次

提出了高速公路中汽车行驶与充电选择的动态模拟方法;再次

利用混沌粒子群优化实现了求解流程与方法。算例分析表明了文中方法的有效性和实用性。

Abstract

The current planning methods of electric vehicle (EV) charging stations fail to effectively coordinate the benefits of both operators and users

and the cumulative effects of the timing traffic on waiting time lack detailed analysis. Hence a more accurate method for planning EV charging stations on the expressway is proposed. Firstly

a mathematical model is built for maximizing the comprehensive benefits of the stations’ operators

investors and EV travelers. Secondly

a dynamic simulation method of EV flow and travelers’ charging selection is proposed. Afterwards

the model is solved by using chaos particle swarm optimization. The effectiveness and practicality of the proposed method are verified by the case study.This work is supported by National Natural Science Foundation of China (No. 51477116).

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考虑电动出租车随机概率行为特性的充电站规划

计及电动汽车充电站作为黑启动电源的网架重构优化策略

电动汽车充电站的概率负荷建模

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Related Institution

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