{"title":"基于改进的级联故障模型的网络物理电力系统脆弱性评估","authors":"Dong Ding, Honglin Wu, Xijuan Yu, Haiyun Wang, Liping Yang, Hongjie Wang, Xiangxing Kong, Qianhe Liu, Zhigang Lu","doi":"10.1007/s42835-024-01929-1","DOIUrl":null,"url":null,"abstract":"<p>Aiming at the problem that the existing vulnerability assessment models ignore the state transformation of information nodes and delay effect of information network, an improved cascade failure model is proposed to assess the vulnerability of cyber physical power system. Firstly, the cyber physical power system model is established according to the topological structure and correlation of the network. Secondly, considering the overload state and recovery process of cyber nodes, as well as the physical layer power flow optimization and information flow redistribution in the process of fault propagation, an improved cascading failures model is established. Finally, the vulnerability index is established from the topological structure and the running state of the system to assess the vulnerability of the cyber physical power system. The simulation results show that the deliberate attack is more destructive to the system than the random attack, as well as that the fault propagation is faster. Moreover, the vulnerability of CPPS can be decreased by increasing the overload and recovery parameters within a certain limit.</p>","PeriodicalId":15577,"journal":{"name":"Journal of Electrical Engineering & Technology","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vulnerability Assessment of Cyber Physical Power System Based on Improved Cascading Failure Model\",\"authors\":\"Dong Ding, Honglin Wu, Xijuan Yu, Haiyun Wang, Liping Yang, Hongjie Wang, Xiangxing Kong, Qianhe Liu, Zhigang Lu\",\"doi\":\"10.1007/s42835-024-01929-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Aiming at the problem that the existing vulnerability assessment models ignore the state transformation of information nodes and delay effect of information network, an improved cascade failure model is proposed to assess the vulnerability of cyber physical power system. Firstly, the cyber physical power system model is established according to the topological structure and correlation of the network. Secondly, considering the overload state and recovery process of cyber nodes, as well as the physical layer power flow optimization and information flow redistribution in the process of fault propagation, an improved cascading failures model is established. Finally, the vulnerability index is established from the topological structure and the running state of the system to assess the vulnerability of the cyber physical power system. The simulation results show that the deliberate attack is more destructive to the system than the random attack, as well as that the fault propagation is faster. Moreover, the vulnerability of CPPS can be decreased by increasing the overload and recovery parameters within a certain limit.</p>\",\"PeriodicalId\":15577,\"journal\":{\"name\":\"Journal of Electrical Engineering & Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical Engineering & Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s42835-024-01929-1\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Engineering & Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s42835-024-01929-1","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Vulnerability Assessment of Cyber Physical Power System Based on Improved Cascading Failure Model
Aiming at the problem that the existing vulnerability assessment models ignore the state transformation of information nodes and delay effect of information network, an improved cascade failure model is proposed to assess the vulnerability of cyber physical power system. Firstly, the cyber physical power system model is established according to the topological structure and correlation of the network. Secondly, considering the overload state and recovery process of cyber nodes, as well as the physical layer power flow optimization and information flow redistribution in the process of fault propagation, an improved cascading failures model is established. Finally, the vulnerability index is established from the topological structure and the running state of the system to assess the vulnerability of the cyber physical power system. The simulation results show that the deliberate attack is more destructive to the system than the random attack, as well as that the fault propagation is faster. Moreover, the vulnerability of CPPS can be decreased by increasing the overload and recovery parameters within a certain limit.
期刊介绍:
ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies.
The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.