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Author:

Xiong, Jingyi (Xiong, Jingyi.) | Hou, Benwei (Hou, Benwei.) | Du, Xiuli (Du, Xiuli.) (Scholars:杜修力)

Indexed by:

EI Scopus

Abstract:

With the increase of global malicious activities, it is particularly necessary to optimize the allocation of limited urban protective resources and protect power network from malicious attacks. There is plenty of research on evaluating the risks of malicious attacks on electricity network, however, conventional risk-based approach does not take strategic adjustment of malicious into account, nor can it determine the optimal allocation of global protective resources. In this paper, an optimal allocation of protective resources based on game theory was proposed, which combined game theory with risk assessment, taking full account of strategic interaction between defender and attacker. IEEE 30-bus network was taken as an example to verify the applicability and reliability of the method, so as to confirm the advantages of the method in determining the global optimal allocation of protective resources. © Published under licence by IOP Publishing Ltd.

Keyword:

Computer crime Game theory Electric network analysis Risk assessment Electric power transmission networks Smart power grids

Author Community:

  • [ 1 ] [Xiong, Jingyi]Faculty of Urban Construction, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Hou, Benwei]Faculty of Urban Construction, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Du, Xiuli]Faculty of Urban Construction, Beijing University of Technology, Beijing; 100124, China

Reprint Author's Address:

  • [xiong, jingyi]faculty of urban construction, beijing university of technology, beijing; 100124, china

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Source :

ISSN: 1755-1307

Year: 2021

Issue: 1

Volume: 645

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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