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基于历史行驶路线的电动汽车充电站布局优化

付凤杰 方雅秀 董红召 陈炜烽

电力系统自动化2018,Vol.42Issue(12):72-80,9.
电力系统自动化2018,Vol.42Issue(12):72-80,9.DOI:10.7500/AEPS20171026002

基于历史行驶路线的电动汽车充电站布局优化

Optimized Allocation of Charging Stations for Electric Vehicles Based on Historical Trajectories

付凤杰 1方雅秀 1董红召 1陈炜烽2

作者信息

  • 1. 浙江工业大学机械工程学院,浙江省杭州市 310014
  • 2. 杭州数元信息科技有限公司,浙江省杭州市 310012
  • 折叠

摘要

Abstract

A reasonable layout of charging facilities is crucial to electric vehicles(EVs)due to the endurance mileage deficiency. Travel behaviors of EVs are simulated based on the historical traj ectories from the automatic number plate recognition(ANPR) data.Thus,by giving an allocation of charging stations,charging behaviors of EVs are simulated using the typical pattern of charging choices based on their trip characteristics.The charging demand and cost of EVs and the profit of operators can be obtained.Consequently,reasonable locations and capacities of charging stations for an optimized layout are determined by minimizing the sum of the charging-trip ratio(CTR)and the cost-benefit ratio(CBR).Furthermore,they should be restricted by user psychology and the capacity of power grid.A case study(including 151 signal intersections)is given to demonstrate the effectiveness of optimization method.Moreover,the influence of workdays/weekends,the increase of traffic demand and the development of battery on the allocation is analyzed.

关键词

历史行驶路线/充电需求/电网负荷/遗传算法/充电站布局

Key words

historical traj ectories/charging demand/load of power grid/genetic algorithm/allocation of charging stations

引用本文复制引用

付凤杰,方雅秀,董红召,陈炜烽..基于历史行驶路线的电动汽车充电站布局优化[J].电力系统自动化,2018,42(12):72-80,9.

基金项目

国家自然科学基金资助项目(61773347) (61773347)

浙江省自然科学基金资助项目(LY17F030017).This work is supported by National Natural Science Foundation of China(No.61773347)and Zhejiang Provincial Natural Science Foundation of China(No.LY17F030017). (LY17F030017)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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