Modelling and Vulnerability Analysis of Cyber-Physical Power Systems Based on Interdependent Networks
Haiyan Zhang,
Minfang Peng,
Josep M. Guerrero,
Xingle Gao and
Yanchen Liu
Additional contact information
Haiyan Zhang: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Minfang Peng: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Josep M. Guerrero: Department of Energy Engineering, Aalborg University, 9220 Aalborg, Denmark
Xingle Gao: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Yanchen Liu: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Energies, 2019, vol. 12, issue 18, 1-14
Abstract:
The strong coupling between the power grid and communication systems may contribute to failure propagation, which may easily lead to cascading failures or blackouts. In this paper, in order to quantitatively analyse the impact of interdependency on power system vulnerability, we put forward a “degree–electrical degree” independent model of cyber-physical power systems (CPPS), a new type of assortative link, through identifying the important nodes in a power grid based on the proposed index–electrical degree, and coupling them with the nodes in a communication system with a high degree, based on one-to-one correspondence. Using the double-star communication system and the IEEE 118-bus power grid to form an artificial interdependent network, we evaluated and compare the holistic vulnerability of CPPS under random attack and malicious attack, separately based on three kinds of interdependent models: “degree–betweenness”, “degree–electrical degree” and “random link”. The simulation results demonstrated that different link patterns, coupling degrees and attack types all can influence the vulnerability of CPPS. The CPPS with a “degree–electrical degree” interdependent model proposed in this paper presented a higher robustness in the face of random attack, and moreover performed better than the degree–betweenness interdependent model in the face of malicious attack.
Keywords: cyber-physical power system; interdependent model; cascading failure; vulnerability; link pattern (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:18:p:3439-:d:264801
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