LAPSE:2023.14293
Published Article
LAPSE:2023.14293
Lightning Failure Risk Assessment of Overhead Transmission Lines Based on Modified Dempster−Shafer Theory
Jie Liu, Boyan Jia, Zhimeng Zhang, Zimo Wang, Ping Wang, Jianghai Geng
March 1, 2023
Abstract
Lightning has a certain degree of potential threat to the safe operation of overhead transmission lines. In order to make targeted lightning protection arrangements and reduce the impact of lightning on overhead transmission lines, it is necessary to conduct lightning risk assessments on overhead transmission lines. This paper proposes a lightning failure risk assessment method for overhead transmission lines based on a modified Dempster−Shafer theory. First, analyze the historical lightning failure data of the line, determine the lightning failure impact factors, and use confidence to express the relationship between the lightning failure and the impact factor; then, use entropy weight theory and gray relational theory to calculate the value of mass function, and modify it on this basis; finally, use Dempster−Shafer theory to determine the trust degree and fit this with the calculated lightning trip rate to produce the risk assessment. This paper analyzes the lightning failure data of overhead transmission lines in some areas of Hebei Province. The results show that, compared with the evaluation method of the Dempster−Shafer theory, the accuracy of the evaluation is improved to a certain extent after correcting the mass function value. It can be seen that this method can integrate and comprehensively consider different data and can provide a reference for preventing damage to transmission lines by lightning strike weather.
Keywords
Dempster–Shafer theory, lightning failure, mass function correction, risk assessment
Suggested Citation
Liu J, Jia B, Zhang Z, Wang Z, Wang P, Geng J. Lightning Failure Risk Assessment of Overhead Transmission Lines Based on Modified Dempster−Shafer Theory. (2023). LAPSE:2023.14293
Author Affiliations
Liu J: State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Jia B: State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Zhang Z: State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China
Wang Z: Hebei Provincial Key Laboratory of Power Equipment Security Defense, North China Electric Power University, Baoding 071003, China
Wang P: Hebei Provincial Key Laboratory of Power Equipment Security Defense, North China Electric Power University, Baoding 071003, China
Geng J: Hebei Provincial Key Laboratory of Power Equipment Security Defense, North China Electric Power University, Baoding 071003, China
Journal Name
Energies
Volume
15
Issue
7
First Page
2538
Year
2022
Publication Date
2022-03-30
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15072538, Publication Type: Journal Article
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LAPSE:2023.14293
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https://doi.org/10.3390/en15072538
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