电动汽车时代的电网-交通网协同优化综述
作者:
作者单位:

1.东北大学;2.东北大学秦皇岛分校

作者简介:

通讯作者:

中图分类号:

TP273

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


A Survey of Cooperative Optimization of Traffic-Grid Networks in the Era of Electric Vehicles
Author:
Affiliation:

1.Northeastern University;2.Northeastern University at Qinhuangdao

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    摘要:电动汽车的出现正在引领交通电气化的变革,电动汽车随机的运输与充电行为将促进交通网与电网的深度耦合。本文结合大数据分析、电车-路网、电车-电网等领域的最新成果,系统地论述了交通电气化进程的现状与进展。首先,总结了耦合系统的数据预测方法,归纳了各自的基本特征、优势与局限性;其次,探讨了交通网络中电动汽车的调度问题,兼顾电动汽车的续航安全与运输服务;然后,围绕充电站选址、充/放电负荷管理等方面分析了电网负载平衡及电车并网优化;最后,对交通电气化进程中存在的问题与挑战进行了总结,并对其未来发展指明了方向。

    Abstract:

    Abstract: The popularity of electric vehicles (EVs) is leading to a revolution in transportation electrification, and the random transport and charging behaviour of electric vehicles will promote the deep coupling between traffic network and power grid. Based on the new achievements such as big data analysis, EV-Road network and EV-Power grid, the progress of traffic electrification is systematically summarized. In this review, the data prediction methods of traffic-power system are summarized firstly, along with their basic features, advantages and limitations. Secondly, the scheduling problem of electric vehicles in traffic network is discussed, giving consideration to the endurance safety and travel service. Then, the grid load balance and EV-grid optimization are analysed based on the charging station location and charging/discharging load management. Finally, the existing problems and challenges in the process of traffic electrification are summarized, showing the promising development directions for future research.

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历史
  • 收稿日期:2020-12-13
  • 最后修改日期:2021-03-05
  • 录用日期:2021-03-16
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