Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory

The increasing factors of uncertainty faced by the system are due to the deep coupling of the electric power cyber network and the physical network. Consequently, ensuring the efficient, secure, and stable operation of the cyber–physical power system (CPPS) has become a key concern. To achieve this,...

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Main Authors: Tianlei Zang, Zian Wang, Xiaoguang Wei, Yi Zhou, Jiale Wu, Buxiang Zhou
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/18/6509
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author Tianlei Zang
Zian Wang
Xiaoguang Wei
Yi Zhou
Jiale Wu
Buxiang Zhou
author_facet Tianlei Zang
Zian Wang
Xiaoguang Wei
Yi Zhou
Jiale Wu
Buxiang Zhou
author_sort Tianlei Zang
collection DOAJ
description The increasing factors of uncertainty faced by the system are due to the deep coupling of the electric power cyber network and the physical network. Consequently, ensuring the efficient, secure, and stable operation of the cyber–physical power system (CPPS) has become a key concern. To achieve this, vulnerability assessment plays a crucial role, as it identifies and protects the vulnerable points of the system. The application of complex network theory to assess the vulnerability of CPPSs has garnered significant attention from scholars. This paper delves into the research connotation of vulnerability assessment for CPPSs, starting with the origin, definition, and classification of vulnerability. Subsequently, the assessment framework of vulnerability based on complex network theory is presented, and the status of current domestic and international research in this field is summarized. Furthermore, the interrelationship between system vulnerability and cascading failures is analyzed from the perspective of complex network theory. In conclusion, the ideas of CPPS coupling modeling in vulnerability assessment are summarized, the concept of situation awareness is introduced, and a prospective approach for dynamic vulnerability assessment is proposed. This approach is based on situation awareness combined with complex network theory. Security protection and optimal operation of CPPSs based on vulnerability assessment are also discussed, along with the assessment of vulnerability within integrated energy cyber–physical systems (IECPSs).
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spelling doaj.art-239fe52c858c459daa2037dae4fc76b82023-11-19T10:26:15ZengMDPI AGEnergies1996-10732023-09-011618650910.3390/en16186509Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network TheoryTianlei Zang0Zian Wang1Xiaoguang Wei2Yi Zhou3Jiale Wu4Buxiang Zhou5College of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610065, ChinaThe increasing factors of uncertainty faced by the system are due to the deep coupling of the electric power cyber network and the physical network. Consequently, ensuring the efficient, secure, and stable operation of the cyber–physical power system (CPPS) has become a key concern. To achieve this, vulnerability assessment plays a crucial role, as it identifies and protects the vulnerable points of the system. The application of complex network theory to assess the vulnerability of CPPSs has garnered significant attention from scholars. This paper delves into the research connotation of vulnerability assessment for CPPSs, starting with the origin, definition, and classification of vulnerability. Subsequently, the assessment framework of vulnerability based on complex network theory is presented, and the status of current domestic and international research in this field is summarized. Furthermore, the interrelationship between system vulnerability and cascading failures is analyzed from the perspective of complex network theory. In conclusion, the ideas of CPPS coupling modeling in vulnerability assessment are summarized, the concept of situation awareness is introduced, and a prospective approach for dynamic vulnerability assessment is proposed. This approach is based on situation awareness combined with complex network theory. Security protection and optimal operation of CPPSs based on vulnerability assessment are also discussed, along with the assessment of vulnerability within integrated energy cyber–physical systems (IECPSs).https://www.mdpi.com/1996-1073/16/18/6509vulnerability assessmentcyber–physical power systemscomplex network theorycascading failures
spellingShingle Tianlei Zang
Zian Wang
Xiaoguang Wei
Yi Zhou
Jiale Wu
Buxiang Zhou
Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory
Energies
vulnerability assessment
cyber–physical power systems
complex network theory
cascading failures
title Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory
title_full Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory
title_fullStr Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory
title_full_unstemmed Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory
title_short Current Status and Perspective of Vulnerability Assessment of Cyber-Physical Power Systems Based on Complex Network Theory
title_sort current status and perspective of vulnerability assessment of cyber physical power systems based on complex network theory
topic vulnerability assessment
cyber–physical power systems
complex network theory
cascading failures
url https://www.mdpi.com/1996-1073/16/18/6509
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