基于电网-交通网耦合的充电站故障传播分析框架

doi:10.3969/j.issn.1000-7229.2020.01.002

电力建设 ›› 2020, Vol. 41 ›› Issue (1): 13-22.doi: 10.3969/j.issn.1000-7229.2020.01.002

• 电动汽车 ·栏目主持孙英云教授、胡俊杰副教授· • 上一篇下一篇

基于电网-交通网耦合的充电站故障传播分析框架

张宇威, 杨军，吴赋章，詹祥澎，龙雪梅，张俊，徐箭

武汉大学电气与自动化学院, 武汉市 430072

出版日期:2020-01-01
作者简介:张宇威(1997)，男，硕士研究生，主要从事电动汽车方面的研究工作；杨军(1977)，男，博士，教授，主要从事电力系统运行与控制、电动汽车、新能源接入技术方面的研究工作；吴赋章(1991)，男，博士研究生，主要从事新能源接入、电动汽车方面的研究工作；詹祥澎(1995)，男，硕士研究生，主要从事电动汽车方面的研究工作；龙雪梅(1996)，女，硕士研究生，主要从事电动汽车方面的研究工作；张俊(1981)，男，博士，教授，主要从事复杂系统建模、电力系统大数据分析、分布式新能源接入与控制方面的研究工作；徐箭(1980)，男，博士，教授，主要从事含大规模风电的电力系统运行调控理论、含高渗透率风电的孤立系统频率电压协调控制技术方面的研究工作。
基金资助:
国家重点研发计划项目(2017YFB0902900)；教育部人文社会科学研究项目(17YJCZH212) ；国家自然科学基金项目(51977154)

Analysis on Disturbance Propagation of Charging Station Fault Considering Grid-Traffic Network Coupling

ZHANG Yuwei, YANG Jun, WU Fuzhang, ZHAN Xiangpeng, LONG Xuemei, ZHANG Jun, XU Jian

School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China

Online:2020-01-01
Supported by:
This work is supported by National Key Research and Development Program of China (No. 2017YFB0902900), Program of the Humanities and Social Research of Ministry of Education(No.17YJCZH212) and National Natural Science Foundation of China（No. 51977154）.

摘要/Abstract

摘要： 近年来，随着电动汽车数量的增加，电网和交通网的联系也更加紧密。2018年深圳市充电站故障引起电动出租车大面积停运堵塞交通事件表明：电网的扰动可能经充电站和电动汽车的耦合而波及到交通网，导致交互传播的连锁故障。因此，需要在考虑电网-交通网两网耦合的基础上，研究充电站故障扰动在两网间的交互传播。在上述背景下，文章提出了一种基于电网-交通网耦合的充电站故障扰动传播分析框架；首先，分析电网和交通网之间的耦合关系，基于多层网络理论建立了电网-交通网耦合网络模型；通过出行链模拟电动汽车的行驶轨迹，建立了电动汽车出行和充电模型；然后，在耦合网络的基础上，考虑充电站故障扰动对电动汽车出行的影响，提出了一种基于多层网络级联失效的扰动分析方法；最后，通过仿真算例分析充电站故障扰动在交通网的时空传播特性。仿真结果表明，文章提出的基于电网-交通网耦合的充电站故障扰动传播分析框架能够准确描述电网扰动对交通网的影响，并且可以定量分析不同路段的交通状态时空演化特征，为交通管理者制定决策提供科学依据。

关键词: 电动汽车, 复杂网络, 多层网络, 级联失效, 扰动传播

Abstract: In recent years, with the increase of EVs, the grid and traffic networks are closely connected. In 2018, the failure of the charging stations in Shenzhen caused a lot of EVs to stop working, which indicates that the disturbance of the grid may spread to the traffic network through the coupling of charging stations and EVs, resulting in a cascading failure. Therefore, aiming at the coupling of the grid-traffic networks, the propagation of fault disturbance is studied. Firstly, the coupling relationship between the two networks is analyzed, and the coupling network model is established on the basis of the multi-layer network theory. The travel chain is used to simulate the driving path of electric vehicles, and the travel and charging model of EVs is established. On the basis of the coupling network and considering the impact of charging station fault disturbance on EVs, the fault disturbance analysis method based on cascading failure of multi-layer network is proposed. Finally, the spatial-temporal propagation characteristics of charging station fault disturbance in traffic network are analyzed through simulation example. The results show that the proposed fault propagation analysis framework based on grid-transport network coupling can accurately describe the impact of grid disturbance on the traffic network. And the method can classify according to the temporal and spatial evolution characteristics of traffic conditions of different road sections, and provide a scientific basis for traffic managers to make decisions.

Key words: electric vehicles, complex network, multi-layer networks, cascading failure, disturbance propagation

中图分类号:

TM 711

张宇威, 杨军，吴赋章，詹祥澎，龙雪梅，张俊，徐箭. 基于电网-交通网耦合的充电站故障传播分析框架[J]. 电力建设, 2020, 41(1): 13-22.

ZHANG Yuwei, YANG Jun, WU Fuzhang, ZHAN Xiangpeng, LONG Xuemei, ZHANG Jun, XU Jian. Analysis on Disturbance Propagation of Charging Station Fault Considering Grid-Traffic Network Coupling[J]. Electric Power Construction, 2020, 41(1): 13-22.

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基于电网-交通网耦合的充电站故障传播分析框架

Analysis on Disturbance Propagation of Charging Station Fault Considering Grid-Traffic Network Coupling

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