基于动态交通仿真的高速公路电动汽车充电站规划

doi:10.19595/j.cnki.1000-6753.tces.170608

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摘要针对已有研究无法计及路网中车辆出行需求时空动态变化的问题,提出基于动态交通仿真的高速公路电动汽车充电站规划方法。首先,提出了基于路段传播模型LTM的高速公路动态交通仿真方法,实现交通流量时空分布的模拟和充电站电动汽车到达率的准确分析;其次,利用M/M/S排队论模型求取电动汽车的充电等待时间;再次,以最小化电动汽车日充电等待时间和最小化年建设运维成本为目标,考虑电动汽车充电需求、充电便捷性以及配电网容量等约束,建立了高路公路电动汽车充电站多目标规划模型,并基于多目标粒子群算法和VIKOR理论求解该模型得到最优规划方案;最后,通过环形高速路网验证了所提方法的实用性与有效性。

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	葛少云
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关键词 ：充电站, 多目标规划, 动态交通仿真, VIKOR方法, M/M/S排队论模型

Abstract：To address the issue that existing studies cannot take time and spatial varying travel demand of vehicles into consideration, this paper proposed an optimal planning technique for electric vehicle charging stations on the highway network based on dynamic traffic simulation. First, the dynamic traffic simulation method was proposed based on link transmission model to simulate the time and spatial traffic flow distribution on the highway network and calculate electric vehicle arrival rates of charging stations. Then, M/M/S queuing model was adopted to calculate electric vehicle charging waiting time. Further, considering the charging need and charging availability of electric vehicles and distribution network capacity constraints, the multi-objective highway network electric vehicle charging station planning model was proposed, with the aim of minimizing daily charging waiting time and annual construction and maintenance cost. The multi-objective particle swarm algorithm and VIKOR method was used to solve the model and determine the optimal planning scheme. Finally, the practicability and validity of the method in this paper was verified through a looped highway network test case.

Key words： Charging station multi-objective planning dynamic traffic simulation VIKOR method M/M/S queuing model

收稿日期: 2017-05-10 出版日期: 2018-07-12

PACS:

TM715

基金资助:国家自然科学基金项目（51477116）和国家电网公司总部科技项目（YD71-16-006）资助

通讯作者: 刘洪男,1979年生,副教授,研究方向为城市电网规划与评估、分布式电源与电动汽车接入等。E-mail：liuhong@tju.edu.cn

作者简介: 葛少云男,1964年生,教授,博士生导师,研究方向为城市电网规划、配电系统自动化和智能电网等。E-mail：syge@tju.edu.cn

引用本文:

葛少云, 朱林伟, 刘洪, 李腾, 刘畅. 基于动态交通仿真的高速公路电动汽车充电站规划[J]. 电工技术学报, 2018, 33(13): 2991-3001. Ge Shaoyun, Zhu Linwei, Liu Hong, Li Teng, Liu Chang. Optimal Deployment of Electric Vehicle Charging Stations on the Highway Based on Dynamic Traffic Simulation. Transactions of China Electrotechnical Society, 2018, 33(13): 2991-3001.

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