Frequency variations measurement techniques in power quality monitoring

Power quality is a term used to describe electric power that motivates an electrical load and the load's ability to function properly with that electric power. Without the proper power, an electrical device load may malfunction, fail prematurely or not operate at all. There are many ways in whi...

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Main Author:	Wood, Terence
Format:	Thesis
Language:	English
Published:	2008
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/9588/1/TerenceWoodMFKE2008.pdf
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id	my-utm-ep.9588
record_format	uketd_dc
spelling	my-utm-ep.95882018-07-19T01:53:08Z Frequency variations measurement techniques in power quality monitoring 2008-05 Wood, Terence TK Electrical engineering. Electronics Nuclear engineering Power quality is a term used to describe electric power that motivates an electrical load and the load's ability to function properly with that electric power. Without the proper power, an electrical device load may malfunction, fail prematurely or not operate at all. There are many ways in which electric power can be of poor quality and many more causes of such poor quality power. The aim of this thesis is to study measurement techniques available in monitoring power system frequency particularly using the Least Square Error (LSE) method and neural network approach (ADALINE). The algorithms for the various measurement methods in this thesis were implemented using MATLAB. Results concluded that the neural network approach (ADALINE) is much better for frequency approximation although the LES algorithm provides an easier measurement method. The LES technique was found to be not accurate in the presence of noise and harmonics. Further studies could be done on recursive LES which may compensate the drawbacks of non-recursive LES algorithm which was studied in this work. 2008-05 Thesis http://eprints.utm.my/id/eprint/9588/ http://eprints.utm.my/id/eprint/9588/1/TerenceWoodMFKE2008.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty 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 Wood, Terence Frequency variations measurement techniques in power quality monitoring
description	Power quality is a term used to describe electric power that motivates an electrical load and the load's ability to function properly with that electric power. Without the proper power, an electrical device load may malfunction, fail prematurely or not operate at all. There are many ways in which electric power can be of poor quality and many more causes of such poor quality power. The aim of this thesis is to study measurement techniques available in monitoring power system frequency particularly using the Least Square Error (LSE) method and neural network approach (ADALINE). The algorithms for the various measurement methods in this thesis were implemented using MATLAB. Results concluded that the neural network approach (ADALINE) is much better for frequency approximation although the LES algorithm provides an easier measurement method. The LES technique was found to be not accurate in the presence of noise and harmonics. Further studies could be done on recursive LES which may compensate the drawbacks of non-recursive LES algorithm which was studied in this work.
format	Thesis
qualification_level	Master's degree
author	Wood, Terence
author_facet	Wood, Terence
author_sort	Wood, Terence
title	Frequency variations measurement techniques in power quality monitoring
title_short	Frequency variations measurement techniques in power quality monitoring
title_full	Frequency variations measurement techniques in power quality monitoring
title_fullStr	Frequency variations measurement techniques in power quality monitoring
title_full_unstemmed	Frequency variations measurement techniques in power quality monitoring
title_sort	frequency variations measurement techniques in power quality monitoring
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2008
url	http://eprints.utm.my/id/eprint/9588/1/TerenceWoodMFKE2008.pdf
_version_	1747814764633915392

Frequency variations measurement techniques in power quality monitoring

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