Risk Reliability Assessment of Transmission Lines under Multiple Natural Disasters in Modern Power Systems
Rongquan Fan,
Wenhui Zeng,
Ziqiang Ming,
Wentao Zhang,
Ruirui Huang () and
Junyong Liu
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Rongquan Fan: State Grid Sichuan Economic Research Institute, Chengdu 610095, China
Wenhui Zeng: State Grid Sichuan Economic Research Institute, Chengdu 610095, China
Ziqiang Ming: State Grid Sichuan Electric Power Company, Chengdu 610072, China
Wentao Zhang: State Grid Sichuan Economic Research Institute, Chengdu 610095, China
Ruirui Huang: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Junyong Liu: College of Electrical Engineering, Sichuan University, Chengdu 610065, China
Energies, 2023, vol. 16, issue 18, 1-14
Abstract:
Climate change has led to more frequent extreme weather events, and various natural disasters have posed risks to the operation of transmission lines. Line failures caused by natural disasters are unpredictable and bring additional maintenance work. Therefore, this paper proposes a transmission line risk reliability assessment method that considers the combined effects of multiple natural disasters. This method establishes a theory of disaster risk quantification that considers the probability of the occurrence of the risk, the degree of the impact of the risk on the line, and the severity of the risk disaster. The risk weights for different natural disasters are calculated by combining a hierarchical analysis and entropy weighting methods. The example of a transmission line risk assessment under the combined effects of multiple natural disasters for a Sichuan region verifies the proposed method’s effectiveness. The results show that the method effectively assesses the operational risk to transmission lines under the combined effects of natural disasters. The assessment results can be used for disaster recovery and line risk prevention.
Keywords: transmission line; risk reliability assessment; multiple natural disasters; analytic hierarchy process; entropy weight method (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: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:18:p:6548-:d:1237958
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