Power quality classification using statistical approach / Mohamad Fairuz Hassan

This paper presents a power disturbance classification using statistical method simple clustering technique that is cluster data and a conventional partitioning method that is K-Means clustering. The key idea is to compare the clustered data between these two techniques. These two approaches have th...

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Main Author:	Hassan, Mohamad Fairuz
Format:	Thesis
Language:	English
Published:	2008
Subjects:	Electric power distribution Electric power transmission
Online Access:	https://ir.uitm.edu.my/id/eprint/78574/2/78574.pdf
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id	my-uitm-ir.78574
record_format	uketd_dc
spelling	my-uitm-ir.785742023-07-27T07:03:11Z Power quality classification using statistical approach / Mohamad Fairuz Hassan 2008 Hassan, Mohamad Fairuz Electric power distribution. Electric power transmission This paper presents a power disturbance classification using statistical method simple clustering technique that is cluster data and a conventional partitioning method that is K-Means clustering. The key idea is to compare the clustered data between these two techniques. These two approaches have the same objectives i.e. to recognize similarities, clusters and classify the disturbance to one of the identified categories. The proposed method has the potential to evaluate various power quality disturbances, such as sag, swell and notches. It also evaluates the performance of each method and discusses the strength and weaknesses of both approaches based on the simulated results. 2008 Thesis https://ir.uitm.edu.my/id/eprint/78574/ https://ir.uitm.edu.my/id/eprint/78574/2/78574.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Zakaria, Zuhaina
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Zakaria, Zuhaina
topic	Electric power distribution Electric power transmission
spellingShingle	Electric power distribution Electric power transmission Hassan, Mohamad Fairuz Power quality classification using statistical approach / Mohamad Fairuz Hassan
description	This paper presents a power disturbance classification using statistical method simple clustering technique that is cluster data and a conventional partitioning method that is K-Means clustering. The key idea is to compare the clustered data between these two techniques. These two approaches have the same objectives i.e. to recognize similarities, clusters and classify the disturbance to one of the identified categories. The proposed method has the potential to evaluate various power quality disturbances, such as sag, swell and notches. It also evaluates the performance of each method and discusses the strength and weaknesses of both approaches based on the simulated results.
format	Thesis
qualification_level	Bachelor degree
author	Hassan, Mohamad Fairuz
author_facet	Hassan, Mohamad Fairuz
author_sort	Hassan, Mohamad Fairuz
title	Power quality classification using statistical approach / Mohamad Fairuz Hassan
title_short	Power quality classification using statistical approach / Mohamad Fairuz Hassan
title_full	Power quality classification using statistical approach / Mohamad Fairuz Hassan
title_fullStr	Power quality classification using statistical approach / Mohamad Fairuz Hassan
title_full_unstemmed	Power quality classification using statistical approach / Mohamad Fairuz Hassan
title_sort	power quality classification using statistical approach / mohamad fairuz hassan
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2008
url	https://ir.uitm.edu.my/id/eprint/78574/2/78574.pdf
_version_	1783736258370994176

Power quality classification using statistical approach / Mohamad Fairuz Hassan

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