Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix
Aiming at the difficulty of fault location of multi-source transmission lines, this paper proposes a fault location method for multi-terminal transmission lines based on a fault branch judgment matrix. The fault traveling wave signal is decomposed by Complete Ensemble Empirical Mode Decomposition wi...
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MDPI AG
2023-01-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/13/2/1174 |
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author | Yongsheng Yang Qi Zhang Minzhen Wang Xinheng Wang Entie Qi |
author_facet | Yongsheng Yang Qi Zhang Minzhen Wang Xinheng Wang Entie Qi |
author_sort | Yongsheng Yang |
collection | DOAJ |
description | Aiming at the difficulty of fault location of multi-source transmission lines, this paper proposes a fault location method for multi-terminal transmission lines based on a fault branch judgment matrix. The fault traveling wave signal is decomposed by Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), and the IMFs sensitive components that can characterize the fault characteristics of the target signals are selected by constructing a correlation-rearrangement entropy function. The arrival time of fault signals at the endpoint has been accurately calibrated by combining them with the Teager Energy Operator (TEO). To eliminate the influence of wave velocity and fault time on the location results, this paper proposes a two-terminal location method based on the line mode component to improve the location accuracy. On this basis, combined with the fault branch judgment matrix, the accurate location of multi-terminal transmission line faults is realized. This method has been shown to have high accuracy in detecting traveling wave heads, accurately judging fault branches, and producing a small error in fault location results. Compared with the existing multi-terminal transmission line fault location algorithm, it has obvious advantages and meets the needs of actual working conditions. |
first_indexed | 2024-03-09T13:40:48Z |
format | Article |
id | doaj.art-dcd54a8fdb4f4f5a9073ded68ee8e650 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-09T13:40:48Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
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series | Applied Sciences |
spelling | doaj.art-dcd54a8fdb4f4f5a9073ded68ee8e6502023-11-30T21:07:14ZengMDPI AGApplied Sciences2076-34172023-01-01132117410.3390/app13021174Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment MatrixYongsheng Yang0Qi Zhang1Minzhen Wang2Xinheng Wang3Entie Qi4National Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology, Changchun Institute of Technology, Changchun City 130012, ChinaNational Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology, Changchun Institute of Technology, Changchun City 130012, ChinaNational Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology, Changchun Institute of Technology, Changchun City 130012, ChinaSchool of Advanced Technology, Xi’an Jiaotong-Liverpool University (XJTLU), 111 Ren’ai Road, Suzhou 215123, ChinaNational Local Joint Engineering Research Center for Smart Distribution Grid Measurement and Control with Safety Operation Technology, Changchun Institute of Technology, Changchun City 130012, ChinaAiming at the difficulty of fault location of multi-source transmission lines, this paper proposes a fault location method for multi-terminal transmission lines based on a fault branch judgment matrix. The fault traveling wave signal is decomposed by Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN), and the IMFs sensitive components that can characterize the fault characteristics of the target signals are selected by constructing a correlation-rearrangement entropy function. The arrival time of fault signals at the endpoint has been accurately calibrated by combining them with the Teager Energy Operator (TEO). To eliminate the influence of wave velocity and fault time on the location results, this paper proposes a two-terminal location method based on the line mode component to improve the location accuracy. On this basis, combined with the fault branch judgment matrix, the accurate location of multi-terminal transmission line faults is realized. This method has been shown to have high accuracy in detecting traveling wave heads, accurately judging fault branches, and producing a small error in fault location results. Compared with the existing multi-terminal transmission line fault location algorithm, it has obvious advantages and meets the needs of actual working conditions.https://www.mdpi.com/2076-3417/13/2/1174CEEMDANmulti-branch grid-connected linedouble-ended traveling wave rangingfault branch judgment matrix |
spellingShingle | Yongsheng Yang Qi Zhang Minzhen Wang Xinheng Wang Entie Qi Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix Applied Sciences CEEMDAN multi-branch grid-connected line double-ended traveling wave ranging fault branch judgment matrix |
title | Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix |
title_full | Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix |
title_fullStr | Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix |
title_full_unstemmed | Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix |
title_short | Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix |
title_sort | fault location method of multi terminal transmission line based on fault branch judgment matrix |
topic | CEEMDAN multi-branch grid-connected line double-ended traveling wave ranging fault branch judgment matrix |
url | https://www.mdpi.com/2076-3417/13/2/1174 |
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