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Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines

This paper presents a new technique for accurate fault locator based on synchronized voltage measurement and smooth support vector machines (SSVM) HV teed feeder transmission line. The approach consists of detection of faulted branch, classification of fault type and determination of exact fault loc...

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Main Authors:	Alanzi E.A., Younis M.A.
Other Authors:	36987889100
Format:	Conference paper
Published:	2023
Subjects:	Fault location SSVM Synchronized voltage Teed feeder Classification (of information) Electric power transmission Feeding Location Materials handling equipment Statistical tests Support vector machines Synchronization Voltage measurement ATP-EMTP Data sets Fault conditions Fault inception angles Fault locator Fault resistances Fault types Feeder system Smooth support vector machine Synchronized voltage measurements Three-branch Transmission line Transmission systems Wave forms Fault detection
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id	my.uniten.dspace-30636
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spelling	my.uniten.dspace-306362023-12-29T15:50:37Z Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines Alanzi E.A. Younis M.A. 36987889100 56501517900 Fault location SSVM Synchronized voltage Teed feeder Classification (of information) Electric power transmission Feeding Location Materials handling equipment Statistical tests Support vector machines Synchronization Voltage measurement ATP-EMTP Data sets Fault conditions Fault inception angles Fault location Fault locator Fault resistances Fault types Feeder system Smooth support vector machine SSVM Synchronized voltage Synchronized voltage measurements Teed feeder Three-branch Transmission line Transmission systems Wave forms Fault detection This paper presents a new technique for accurate fault locator based on synchronized voltage measurement and smooth support vector machines (SSVM) HV teed feeder transmission line. The approach consists of detection of faulted branch, classification of fault type and determination of exact fault location. Post-fault measured voltages waveforms are collected from only two ends of the three branches teed feeder system. The application of SSVM (Classification and Regression) is practiced for training, testing and validating of the faulted waveforms data set leading to the exact fault location on the system. Several fault conditions are analyzed, trained, tested and validated. The proposed technique is tested and found insensitive to variation of different parameters such as fault type, fault resistance and fault inception angle. ATPEMTP program is used for simulation of faulted data for a 275KV teed feeder transmission system. �2010 IEEE. Final 2023-12-29T07:50:37Z 2023-12-29T07:50:37Z 2010 Conference paper 10.1109/PECON.2010.5697721 2-s2.0-79951792461 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951792461&doi=10.1109%2fPECON.2010.5697721&partnerID=40&md5=9cc1b1a6504f31f6667f53830b3dffcb https://irepository.uniten.edu.my/handle/123456789/30636 5697721 980 984 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/
topic	Fault location SSVM Synchronized voltage Teed feeder Classification (of information) Electric power transmission Feeding Location Materials handling equipment Statistical tests Support vector machines Synchronization Voltage measurement ATP-EMTP Data sets Fault conditions Fault inception angles Fault location Fault locator Fault resistances Fault types Feeder system Smooth support vector machine SSVM Synchronized voltage Synchronized voltage measurements Teed feeder Three-branch Transmission line Transmission systems Wave forms Fault detection
spellingShingle	Fault location SSVM Synchronized voltage Teed feeder Classification (of information) Electric power transmission Feeding Location Materials handling equipment Statistical tests Support vector machines Synchronization Voltage measurement ATP-EMTP Data sets Fault conditions Fault inception angles Fault location Fault locator Fault resistances Fault types Feeder system Smooth support vector machine SSVM Synchronized voltage Synchronized voltage measurements Teed feeder Three-branch Transmission line Transmission systems Wave forms Fault detection Alanzi E.A. Younis M.A. Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines
description	This paper presents a new technique for accurate fault locator based on synchronized voltage measurement and smooth support vector machines (SSVM) HV teed feeder transmission line. The approach consists of detection of faulted branch, classification of fault type and determination of exact fault location. Post-fault measured voltages waveforms are collected from only two ends of the three branches teed feeder system. The application of SSVM (Classification and Regression) is practiced for training, testing and validating of the faulted waveforms data set leading to the exact fault location on the system. Several fault conditions are analyzed, trained, tested and validated. The proposed technique is tested and found insensitive to variation of different parameters such as fault type, fault resistance and fault inception angle. ATPEMTP program is used for simulation of faulted data for a 275KV teed feeder transmission system. �2010 IEEE.
author2	36987889100
author_facet	36987889100 Alanzi E.A. Younis M.A.
format	Conference paper
author	Alanzi E.A. Younis M.A.
author_sort	Alanzi E.A.
title	Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines
title_short	Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines
title_full	Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines
title_fullStr	Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines
title_full_unstemmed	Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines
title_sort	fault location of hv teed feeder based on synchronized voltage measurement and smooth support vector machines
publishDate	2023
_version_	1806425682253709312
score	13.239859

Fault location of HV teed feeder based on synchronized voltage measurement and smooth support vector machines

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