Cascading risk assessment in power-communication interdependent networks

Zhuoyang Wang, Guo Chen, Long Liu, David J. Hill

Research output: Contribution to journalArticleResearchpeer-review

28 Citations (Scopus)

Abstract

With the expansion of power system scale, more and more network systems are interconnected to form a huge interdependent network. The most notable of these is the power-communication interdependent network. Modern power systems rely heavily on being controlled via communication networks; in reverse, power supply is the foundation of maintaining the normal operation of communication network. In such an interdependent network, a failure in one layer will not only disrupt its own stability, but may also cause a cascading failure between multiple layers. Therefore, developing an advanced method that can assess the cascading risk in power-communication interdependent network is essential. In this paper, an improved Complex Network model for power-communication interdependent network risk assessment is proposed. Firstly, a model of power system coupled with communication network is developed. Then data exchange rules which is improved from the existing ”point-wise” interdependent model are introduced. In addition, the interactions between the power system and communication network are provided. The simulation results demonstrate that the proposed method is effective for a power-communication interdependent network cascading risk assessment.

Original languageEnglish
Article number120496
JournalPhysica A: Statistical Mechanics and its Applications
Volume540
DOIs
Publication statusPublished - 15 Feb 2020
Externally publishedYes

Keywords

  • Cascading failure
  • Complex network
  • Interdependent network
  • Risk assessment

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