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A Fault Location Method of Multi-Branch Distribution Line Based on MODWT Combined with Improved TEO
School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
* Corresponding Author: Pan Duan. Email:
Energy Engineering 2025, 122(9), 3817-3838. https://doi.org/10.32604/ee.2025.066491
Received 09 April 2025; Accepted 23 June 2025; Issue published 26 August 2025
Abstract
To address the challenges of fault line identification and low detection accuracy of wave head in Fault Location (FL) research of distribution networks with complex topologies, this paper proposes an FL method of Multi-Branch distribution line based on Maximal Overlap Discrete Wavelet Transform (MODWT) combined with the improved Teager Energy Operator (TEO). Firstly, the current and voltage Traveling Wave (TW) signals at the head of each line are extracted, and the fault-induced components are obtained to determine the fault line by analyzing the polarity of the mutation amount of fault voltage and current TWs. Subsequently, the fault discrimination mark is calculated based on the fault-induced line-mode current and the zero-mode voltage, with the fault type determined by comparing each mark’s value against the fault discrimination table, transforming the FL problem in complex topology into a single-line FL problem. Finally, the fault voltage TW is extracted from the fault line, and the wave head detection method based on MODWT combined with improved TEO is used to precisely identify the arrival instants of both the first TW wave head and its first reflection at each line terminal, and then the FL result is calculated by applying the double-ended TW ranging formula that removes the influence of wave velocity. Simulation results demonstrate that the proposed method accurately identifies the fault line and types of faults occurring and maintains the ranging accuracy within 0.5% under various fault scenarios.Keywords
Cite This Article
Copyright © 2025 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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