dc.creator | Wang, Tao | es |
dc.creator | Wei, Xiaoguang | es |
dc.creator | Huang, Tao | es |
dc.creator | Wang, Jun | es |
dc.creator | Valencia Cabrera, Luis | es |
dc.creator | Fan, Zhennan | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.date.accessioned | 2019-05-30T07:54:12Z | |
dc.date.available | 2019-05-30T07:54:12Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Wang, T., Wei, X., Huang, T., Wang, J., Valencia Cabrera, L., Fan, Z. y Pérez Jiménez, M.d.J. (2019). Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids. Complexity, 2019 (Article ID 7428458) | |
dc.identifier.issn | 1076-2787 | es |
dc.identifier.uri | https://hdl.handle.net/11441/86995 | |
dc.description.abstract | 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 fromthe perspective of cyberphysical
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. | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Hindawi | es |
dc.relation.ispartof | Complexity, 2019 (Article ID 7428458) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Cascading Failures Analysis Considering Extreme Virus Propagation of Cyber-Physical Systems in Smart Grids | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.publisherversion | https://www.hindawi.com/journals/complexity/2019/7428458/ | es |
dc.identifier.doi | 10.1155/2019/7428458 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
idus.format.extent | 16 | es |
dc.journaltitle | Complexity | es |
dc.publication.volumen | 2019 | es |
dc.publication.issue | Article ID 7428458 | es |