Surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage

Contaminated and aged transmission line insulators are susceptible to flashover during service, due to temporary or permanent loss of their insulating properties, resulting in power system failure. Surface discharges are precursors to flashovers. To pre-empt the occurrence of flashover incidents, ut...

Full description

Saved in:

Bibliographic Details
Main Author:	Suhaimi, Saiful Mohammad Iezham
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/93146/1/SaifulMohammadIezhamMSKE2017.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.93146
record_format	uketd_dc
spelling	my-utm-ep.931462021-11-19T03:23:58Z Surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage 2017 Suhaimi, Saiful Mohammad Iezham TK Electrical engineering. Electronics Nuclear engineering Contaminated and aged transmission line insulators are susceptible to flashover during service, due to temporary or permanent loss of their insulating properties, resulting in power system failure. Surface discharges are precursors to flashovers. To pre-empt the occurrence of flashover incidents, utility companies need to regularly monitor the condition of line insulators. Recent studies have shown that monitoring of ultra-violet (UV) signals emitted by surface discharges of the insulators is a promising technique. This study presents a method of detecting impairment on contaminated and aged insulators during surface discharge activities, by using UV pulse voltage method. For verification, time and frequency domain of the UV signals for a group of insulator samples with varying contamination levels and degree of ageing have been analysed. Experimental result shows that a strong correlation exists between the frequency components of the UV signals and discharge intensity levels under varying contamination levels and degree of ageing. As the contamination levels increases, the discharge levels of the insulator samples also intensifies, resulting in the increase of total harmonic distortion (THD) and fundamental frequency of the UV signals. Frequency components of the UV signals have been employed by using MATLAB simulation to develop a technique based on artificial neural network (ANN) to classify the flashover prediction based on the discharge intensity levels of the insulator samples. The results of the ANN simulation show 87% accuracy in the performance index. This study illustrates that UV pulse detection method is a potential tool to monitor insulator surface conditions during service. 2017 Thesis http://eprints.utm.my/id/eprint/93146/ http://eprints.utm.my/id/eprint/93146/1/SaifulMohammadIezhamMSKE2017.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:132587 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Suhaimi, Saiful Mohammad Iezham Surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage
description	Contaminated and aged transmission line insulators are susceptible to flashover during service, due to temporary or permanent loss of their insulating properties, resulting in power system failure. Surface discharges are precursors to flashovers. To pre-empt the occurrence of flashover incidents, utility companies need to regularly monitor the condition of line insulators. Recent studies have shown that monitoring of ultra-violet (UV) signals emitted by surface discharges of the insulators is a promising technique. This study presents a method of detecting impairment on contaminated and aged insulators during surface discharge activities, by using UV pulse voltage method. For verification, time and frequency domain of the UV signals for a group of insulator samples with varying contamination levels and degree of ageing have been analysed. Experimental result shows that a strong correlation exists between the frequency components of the UV signals and discharge intensity levels under varying contamination levels and degree of ageing. As the contamination levels increases, the discharge levels of the insulator samples also intensifies, resulting in the increase of total harmonic distortion (THD) and fundamental frequency of the UV signals. Frequency components of the UV signals have been employed by using MATLAB simulation to develop a technique based on artificial neural network (ANN) to classify the flashover prediction based on the discharge intensity levels of the insulator samples. The results of the ANN simulation show 87% accuracy in the performance index. This study illustrates that UV pulse detection method is a potential tool to monitor insulator surface conditions during service.
format	Thesis
qualification_level	Master's degree
author	Suhaimi, Saiful Mohammad Iezham
author_facet	Suhaimi, Saiful Mohammad Iezham
author_sort	Suhaimi, Saiful Mohammad Iezham
title	Surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage
title_short	Surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage
title_full	Surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage
title_fullStr	Surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage
title_full_unstemmed	Surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage
title_sort	surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2017
url	http://eprints.utm.my/id/eprint/93146/1/SaifulMohammadIezhamMSKE2017.pdf
_version_	1747818638737408000

Surface discharge analysis of high voltage glass insulator using ultraviolet pulse voltage

Similar Items