Vulnerability analysis and critical components identification of Power Networks under cascading failures

Shuliang Wang, Jianhua Zhang, Liangzhi Gan
{"title":"Vulnerability analysis and critical components identification of Power Networks under cascading failures","authors":"Shuliang Wang, Jianhua Zhang, Liangzhi Gan","doi":"10.1109/CHICC.2016.7554390","DOIUrl":null,"url":null,"abstract":"Power network safety has become an important subject in safety science because power networks are basic support to modern infrastructures. This paper takes Central China Power Network (CCPN) as an example to study vulnerability and identify critical components under cascading failures induced by both node overload breakdowns and edge overload failures. As for cascading failures induced by edge overload failures, testing the response of power networks, it is concluded that the effect of different attack for network performance has close relation with the tolerate parameter and the adjustable parameter, and power networks have the best performance when the adjustable parameter equal 1 for different tolerate parameter. Meanwhile, we also find that key elements are those with high load and connections. As for cascading failures induced by node overload breakdowns, it has the similar results. Our findings will be helpful to protect the key elements to avoid cascading failure induced disasters, and they may be useful in furthering study of designing critical infrastructure systems.","PeriodicalId":246506,"journal":{"name":"Cybersecurity and Cyberforensics Conference","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cybersecurity and Cyberforensics Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CHICC.2016.7554390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Power network safety has become an important subject in safety science because power networks are basic support to modern infrastructures. This paper takes Central China Power Network (CCPN) as an example to study vulnerability and identify critical components under cascading failures induced by both node overload breakdowns and edge overload failures. As for cascading failures induced by edge overload failures, testing the response of power networks, it is concluded that the effect of different attack for network performance has close relation with the tolerate parameter and the adjustable parameter, and power networks have the best performance when the adjustable parameter equal 1 for different tolerate parameter. Meanwhile, we also find that key elements are those with high load and connections. As for cascading failures induced by node overload breakdowns, it has the similar results. Our findings will be helpful to protect the key elements to avoid cascading failure induced disasters, and they may be useful in furthering study of designing critical infrastructure systems.
级联故障下电网脆弱性分析与关键部件识别
电网安全作为现代基础设施的基础支撑,已成为安全科学的重要课题。本文以华中电网(CCPN)为例,研究节点过载故障和边缘过载故障引起的级联故障下的脆弱性,并识别关键部件。对于由边缘过载故障引起的级联故障,通过对电网响应的测试,得出不同攻击对网络性能的影响与容限参数和可调参数密切相关,当容限参数为1时,电网性能最佳。同时,我们也发现,关键因素是那些高负荷、高连接的因素。对于节点过载故障引起的级联故障,也有类似的结果。我们的研究结果将有助于保护关键要素以避免级联故障引起的灾难,并可能对进一步研究关键基础设施系统的设计有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信