Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids
Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical networks. However, due to the interdependencies between communication networks and electrical networks, once communication networks fail (or are at...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/7428458 |
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| _version_ | 1832561729425375232 |
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| author | Tao Wang Xiaoguang Wei Tao Huang Jun Wang Luis Valencia-Cabrera Zhennan Fan Mario J. Pérez-Jiménez |
| author_facet | Tao Wang Xiaoguang Wei Tao Huang Jun Wang Luis Valencia-Cabrera Zhennan Fan Mario J. Pérez-Jiménez |
| author_sort | Tao Wang |
| collection | DOAJ |
| description | Communication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical networks. However, due to the interdependencies between communication networks and electrical networks, once communication networks fail (or are attacked), the faults can be easily propagated to electrical networks which even lead to cascading blackout; therefore it is crucial to investigate the impacts of failures of communication networks on the operation of electrical networks. This paper focuses on cascading failures in interdependent systems from the perspective of cyber-physical security. In the interdependent fault propagation model, the complex network-based virus propagation model is used to describe virus infection in the scale-free and small-world topologically structured communication networks. Meanwhile, in the electrical network, dynamic power flow is employed to reproduce the behaviors of the electrical networks after a fault. In addition, two time windows, i.e., the virus infection cycle and the tripping time of overloaded branches, are considered to analyze the fault characteristics of both electrical branches and communication nodes along time under virus propagation. The proposed model is applied to the IEEE 118-bus system and the French grid coupled with different communication network structures. The results show that the scale-free communication network is more vulnerable to virus propagation in smart cyber-physical grids. |
| format | Article |
| id | doaj-art-b58749d8a3dd4d948792ede871754afe |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-b58749d8a3dd4d948792ede871754afe2025-02-03T01:24:25ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/74284587428458Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart GridsTao Wang0Xiaoguang Wei1Tao Huang2Jun Wang3Luis Valencia-Cabrera4Zhennan Fan5Mario J. Pérez-Jiménez6School of Electrical Engineering and Electronic Information, Xihua University, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, ChinaSchool of Electrical Engineering and Electronic Information, Xihua University, ChinaSchool of Electrical Engineering and Electronic Information, Xihua University, ChinaResearch Group on Natural Computing, Department of Computer Science and Artificial Intelligence, University of Seville, SpainSchool of Electrical Engineering and Electronic Information, Xihua University, ChinaResearch Group on Natural Computing, Department of Computer Science and Artificial Intelligence, University of Seville, SpainCommunication networks as smart infrastructure systems play an important role in smart girds to monitor, control, and manage the operation of electrical networks. However, due to the interdependencies between communication networks and electrical networks, once communication networks fail (or are attacked), the faults can be easily propagated to electrical networks which even lead to cascading blackout; therefore it is crucial to investigate the impacts of failures of communication networks on the operation of electrical networks. This paper focuses on cascading failures in interdependent systems from the perspective of cyber-physical security. In the interdependent fault propagation model, the complex network-based virus propagation model is used to describe virus infection in the scale-free and small-world topologically structured communication networks. Meanwhile, in the electrical network, dynamic power flow is employed to reproduce the behaviors of the electrical networks after a fault. In addition, two time windows, i.e., the virus infection cycle and the tripping time of overloaded branches, are considered to analyze the fault characteristics of both electrical branches and communication nodes along time under virus propagation. The proposed model is applied to the IEEE 118-bus system and the French grid coupled with different communication network structures. The results show that the scale-free communication network is more vulnerable to virus propagation in smart cyber-physical grids.http://dx.doi.org/10.1155/2019/7428458 |
| spellingShingle | Tao Wang Xiaoguang Wei Tao Huang Jun Wang Luis Valencia-Cabrera Zhennan Fan Mario J. Pérez-Jiménez Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids Complexity |
| title | Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids |
| title_full | Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids |
| title_fullStr | Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids |
| title_full_unstemmed | Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids |
| title_short | Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids |
| title_sort | cascading failures analysis considering extreme virus propagation of cyber physical systems in smart grids |
| url | http://dx.doi.org/10.1155/2019/7428458 |
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