LAPSE:2024.1720
Published Article

LAPSE:2024.1720
A Study on Fault Localization Method of Three-Terminal Multi-Section Overhead Line−Cable Hybrid Line Using MEEMD Combined with Teager Energy Operator Algorithm
August 23, 2024
Abstract
An improved fault localization method combining total aggregate empirical modal decomposition (MEEMD) and Teager energy operator (TEO) is proposed to address the fault localization issue of three-terminal multi-segment overhead line−cable hybrid transmission lines. This method solves the fault localization problem caused by wave impedance discontinuity in hybrid lines. First, the MEEMD algorithm, which improves modal aliasing, and the Teager energy operator, which reflects transient energy changes, are combined for the accurate detection of faulty traveling wave heads. The fault line section determination condition within the fault branch is used to determine the overhead line section or cable section where the fault is located after determining the faulty branch line. This condition is based on the time difference between the initial traveling wave of the fault arriving at each end measurement point and the T-node. Ultimately, the fault distance is determined using the double-ended traveling wave technique. By combining PSCAD and MATLAB for simulation verification, the accuracy of the ranging method is compared and analyzed, and the results show that the method is able to ensure the accuracy of ranging at different fault locations and transition resistances. Additionally, the localization error is basically kept within 30 m, which significantly improves the accuracy of fault localization.
An improved fault localization method combining total aggregate empirical modal decomposition (MEEMD) and Teager energy operator (TEO) is proposed to address the fault localization issue of three-terminal multi-segment overhead line−cable hybrid transmission lines. This method solves the fault localization problem caused by wave impedance discontinuity in hybrid lines. First, the MEEMD algorithm, which improves modal aliasing, and the Teager energy operator, which reflects transient energy changes, are combined for the accurate detection of faulty traveling wave heads. The fault line section determination condition within the fault branch is used to determine the overhead line section or cable section where the fault is located after determining the faulty branch line. This condition is based on the time difference between the initial traveling wave of the fault arriving at each end measurement point and the T-node. Ultimately, the fault distance is determined using the double-ended traveling wave technique. By combining PSCAD and MATLAB for simulation verification, the accuracy of the ranging method is compared and analyzed, and the results show that the method is able to ensure the accuracy of ranging at different fault locations and transition resistances. Additionally, the localization error is basically kept within 30 m, which significantly improves the accuracy of fault localization.
Record ID
Keywords
fault localization, hybrid line, modified ensemble empirical mode decomposition (MEEMD), Teager energy operator (TEO), triple-ended multistage
Subject
Suggested Citation
Cao W, Zhang F, Chen X, Zhang B, Li J, Xu M. A Study on Fault Localization Method of Three-Terminal Multi-Section Overhead Line−Cable Hybrid Line Using MEEMD Combined with Teager Energy Operator Algorithm. (2024). LAPSE:2024.1720
Author Affiliations
Cao W: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China [ORCID]
Zhang F: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Chen X: State Grid Sichuan Electric Power Company Meishan Power Supply Company, Chengdu 610041, China
Zhang B: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Li J: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Xu M: State Grid Henan Electric Power Company Electric Power Scientific Research Institute, Zhengzhou 450052, China
Zhang F: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Chen X: State Grid Sichuan Electric Power Company Meishan Power Supply Company, Chengdu 610041, China
Zhang B: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Li J: School of Electrical Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450045, China
Xu M: State Grid Henan Electric Power Company Electric Power Scientific Research Institute, Zhengzhou 450052, China
Journal Name
Processes
Volume
12
Issue
7
First Page
1360
Year
2024
Publication Date
2024-06-29
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr12071360, Publication Type: Journal Article
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LAPSE:2024.1720
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https://doi.org/10.3390/pr12071360
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[v1] (Original Submission)
Aug 23, 2024
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Aug 23, 2024
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