基于连锁故障网络图和不同攻击方式的输电线路脆弱性分析
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  • 英文篇名:Cascading Fault Graph for the Analysis of Transmission Network Vulnerability Under Different Attacks
  • 作者:韦晓广 ; 高仕斌 ; 李多 ; 黄涛 ; 皮仁健 ; 王涛
  • 英文作者:WEI Xiaoguang;GAO Shibin;LI Duo;HUANG Tao;PI Renjian;WANG Tao;School of Electrical Engineering, Southwest Jiaotong University;Global Energy Interconnection Research Institute Europe GmbH;Department of Energy, Politecnico di Torino;School of Electrical Engineering and Electronic Information, Xihua University;
  • 关键词:输电线路 ; 脆弱性评估 ; 连锁故障 ; 连锁故障网络图 ; 时序攻击 ; 同时攻击
  • 英文关键词:transmission network;;vulnerability assessment;;cascading failures;;cascading fault graph;;synchronous attack;;sequential attack
  • 中文刊名:ZGDC
  • 英文刊名:Proceedings of the CSEE
  • 机构:西南交通大学电气工程学院;全球能源互联网欧洲研究院;都灵理工大学能源系;西华大学电气与电子信息学院;
  • 出版日期:2017-10-30 15:46
  • 出版单位:中国电机工程学报
  • 年:2018
  • 期:v.38;No.589
  • 基金:国家自然科学基金项目(61703345)~~
  • 语种:中文;
  • 页:ZGDC201802016
  • 页数:11
  • CN:02
  • ISSN:11-2107/TM
  • 分类号:132-141+344
摘要
现有输电线路脆弱性评估方法不能揭示线路故障的传播机理,针对以上问题,依据连锁故障的传播特点,提出了基于连锁故障网络图(cascading fault graph,CFG)的输电线路脆弱性评估方法。首先,介绍了CFG的形成算法。其次,利用复杂网络理论相关指标,度、入度及出度分析了线路的脆弱性,进一步提出了基于分阶段的CFG,以分析不同时段线路的脆弱性。最后,采用IEEE 118节点算例,通过对线路同时攻击和时序攻击表明,CFG具有无标尺特性,即蓄意攻击时电网具有很高的脆弱性,随机攻击具有很高的鲁棒性。分析方法将具有空间特性的电网转化成具有时序特性的CFG,不仅直观地反映了线路脆弱性,而且揭示了线路之间故障传播的时序关系。
        As existing methods of transmission network vulnerability assessment cannot reveal the mechanism of fault propagation, in this paper a new cascading fault graph(CFG) method was proposed based on the propagation characteristics of cascading failures. Firstly, the method of generating the CFG was introduced. Secondly, indices of node degree, in-degree and out-degree were employed to analyze the vulnerability of transmission networks with considerations of different cascading stages in the CFG. Finally, simulations using the IEEE 118-bus system show that CFGs are scale-free networks which indicates the system is robust under random vertexes attack, but it is highly vulnerable under deliberate attack. On this basis, critical lines are identified under synchronous attacks and sequential attacks. The proposed method can reveal not only the vulnerability of branches intuitively, but also the temporal relations of fault propagation among branches.
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