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Cascading risk assessment in power-communication interdependent networks

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

Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, issue C

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.

Keywords: Risk assessment; Interdependent network; Complex network; Cascading failure (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119300573

DOI: 10.1016/j.physa.2019.01.065

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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