Cascading Failure of Cyber-Coupled Power Systems Considering Interactions Between Attack and Defense

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

24 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Article number8746786
Pages (from-to)4323-4336
Journal / PublicationIEEE Transactions on Circuits and Systems I: Regular Papers
Volume66
Issue number11
Online published26 Jun 2019
Publication statusPublished - Nov 2019
Externally publishedYes

Abstract

In this paper, we develop a network-based model with consideration of the physical power flow process to study the cascading failure in cyber-coupled power systems. We take the coupling between power and cyber networks as being resulted from the interdependence of power nodes and cyber nodes. Interaction between two processes, one aiming to attack (cause damage) and the other aiming to defend (protect) the components in the power network, is considered in the model. This interaction offers a novel perspective to interpreting the interdependence of power and cyber networks. To study how an attacker or defender deploys resources to attack or protect a power component, four strategies in distributing the attack and defense strengths are considered, namely, even distribution, degree-based distribution, capacity-based distribution, and random distribution. To probe into the actual propagation process of a blackout, we define four critical time points, namely, start time, attack time, isolation time and end time, and use these time points to analyze and evaluate the effectiveness of different attack and defense strategies. The tit-for-tat defense strategy, in which defender adopts the same strategy as the attacker, is found to be the preferred defense strategy under most conditions. Moreover, allocating defense strength in terms of capacity-based distribution can most effectively suppress cascading failure. This finding was not obtainable without due consideration of the physical power flow process in network-based models.

Research Area(s)

  • Power network, cyber-physical system, cascading failure