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Fault location in hybrid transmission lines on the basis of VMD energy entropy and SVM.

Authors :
Zhao, Min
Kang, Zhihui
Source :
Journal of Computational Methods in Sciences & Engineering. 2023, Vol. 23 Issue 4, p2083-2099. 17p.
Publication Year :
2023

Abstract

Finding the head of a traveling wave is challenging because an overhead line-cable hybrid transmission line's wave impedance is not constant. Because of this, it is difficult to measure the hybrid transmission line precisely. This leads to the proposal of a hybrid transmission line fault location algorithm, which combines VMD energy entropy for training support vector machines and traveling wave law graphs. The VMD energy entropy is first used to train SVM to identify the faulty section. The method of traveling waves with a single end is utilized to precisely fix the fault distance within the faulty segment when the type of traveling wave has been identified. The simulation results demonstrate that the method provides precise measurements and is effective for hybrid transmission lines with a range of fault distances and grounding resistances. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14727978
Volume :
23
Issue :
4
Database :
Academic Search Index
Journal :
Journal of Computational Methods in Sciences & Engineering
Publication Type :
Academic Journal
Accession number :
171874468
Full Text :
https://doi.org/10.3233/JCM-226760