Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix

Yang, Yongsheng, Zhang, Qi, Wang, Minzhen, Wang, Xinheng ORCID: 0000-0001-8771-8901 and Qi, Entie (2023) Fault Location Method of Multi-Terminal Transmission Line Based on Fault Branch Judgment Matrix. APPLIED SCIENCES-BASEL, 13 (2). p. 1174.

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Official URL: http://dx.doi.org/10.3390/app13021174

Abstract

<jats:p>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.</jats:p>

Item Type:	Article
Uncontrolled Keywords:	CEEMDAN, multi-branch grid-connected line, double-ended traveling wave ranging, fault branch judgment matrix
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	24 Apr 2023 14:22
Last Modified:	17 Mar 2024 16:06
DOI:	10.3390/app13021174
Open Access URL:	https://doi.org/10.3390/app13021174
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3169927