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Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning

Discrete wavelet transforms; Electric fault location; Electric lines; Machine learning; Neural networks; Wavelet decomposition; Fault classification; Fault estimation; Fault zone; Long transmission lines; Machine learning models; Phase transmission; Three phase; Three phasis; Transmission-line; Two...

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Main Authors: Zerahny C.K.Y., Yun L.K., Raymond W.J.K., Mei K.T.
Other Authors: 57442220000
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-263952023-05-29T17:09:56Z Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning Zerahny C.K.Y. Yun L.K. Raymond W.J.K. Mei K.T. 57442220000 57211330420 55193255600 57220873063 Discrete wavelet transforms; Electric fault location; Electric lines; Machine learning; Neural networks; Wavelet decomposition; Fault classification; Fault estimation; Fault zone; Long transmission lines; Machine learning models; Phase transmission; Three phase; Three phasis; Transmission-line; Two phase; Location A long transmission line was simulated to collect fault data from one end of the line, which makes it a cost-efficient approach. Using Discrete Wavelet Transform (DWT), the essential characteristics of the fault type and its location can be extracted. Twelve types of mother wavelets with decomposition levels up to level 9 were compared and Haar wavelet was found to be most suitable. The resulting output was used as features to train several machine learning models for location and classification of faults. Fault estimation was carried out using the features extracted. By relying on the fault estimation, the search area for the fault can be reduced, thus decreasing the time needed to locate the actual fault. The artificial neural network (ANN) performed very well for fault classification having up to 100% accuracy. Another ANN was used for fault zone location and the accuracy obtained was 95.9%. Other machine learning models perform slightly poorer than ANN but had acceptable accuracy for fault location and classification. The results obtained considered single-phase to ground, two-phase, two-phase to ground and three-phase to ground faults. The faults occurred at various fault inception angles. The faults also included low and high fault impedances. The results indicate that this approach managed to detect and locate the fault zone with reasonable accuracy on a long transmission line model using data measured from one end only. � 2021 IEEE. Final 2023-05-29T09:09:56Z 2023-05-29T09:09:56Z 2021 Conference Paper 10.1109/ICIAS49414.2021.9642641 2-s2.0-85124166507 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124166507&doi=10.1109%2fICIAS49414.2021.9642641&partnerID=40&md5=f41f640e1d116e15bf7899c9d9fa94b1 https://irepository.uniten.edu.my/handle/123456789/26395 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Discrete wavelet transforms; Electric fault location; Electric lines; Machine learning; Neural networks; Wavelet decomposition; Fault classification; Fault estimation; Fault zone; Long transmission lines; Machine learning models; Phase transmission; Three phase; Three phasis; Transmission-line; Two phase; Location
author2 57442220000
author_facet 57442220000
Zerahny C.K.Y.
Yun L.K.
Raymond W.J.K.
Mei K.T.
format Conference Paper
author Zerahny C.K.Y.
Yun L.K.
Raymond W.J.K.
Mei K.T.
spellingShingle Zerahny C.K.Y.
Yun L.K.
Raymond W.J.K.
Mei K.T.
Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning
author_sort Zerahny C.K.Y.
title Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning
title_short Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning
title_full Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning
title_fullStr Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning
title_full_unstemmed Fault Classification and Location in Three-Phase Transmission Lines Using Wavelet-based Machine Learning
title_sort fault classification and location in three-phase transmission lines using wavelet-based machine learning
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806425788903325696
score 13.222552

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