Pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur

This research develops alarm processing in a methodology combination of Probability Neural Network (RNK) and Fuzzy Relation (HK) is named as Neuro- Fuzzy (NK) in power system protection. In a power system protection, alarm processing is illustrated as an input of alarm pattern. While fault occurs, o...

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Bibliographic Details
Main Author:	Azriyenni, Azriyenni
Format:	Thesis
Language:	English
Published:	2007
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/32372/1/AzriyeniMFKE2007.pdf
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id	my-utm-ep.32372
record_format	uketd_dc
spelling	my-utm-ep.323722018-07-30T08:39:36Z Pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur 2007-11 Azriyenni, Azriyenni TK Electrical engineering. Electronics Nuclear engineering This research develops alarm processing in a methodology combination of Probability Neural Network (RNK) and Fuzzy Relation (HK) is named as Neuro- Fuzzy (NK) in power system protection. In a power system protection, alarm processing is illustrated as an input of alarm pattern. While fault occurs, operated protective devices will send fault information in the form of alarm pattern. The RNK has alarm pattern as an input for every neuron output. RNK is also responsible to calculate the membership degrees of component system at faulted component class. On the other hand, HK is expended based on rule base of Sagittal Diagram. The Sagittal Diagram has been developed using HK equation known as parametric operators to find the membership degree. These membership degrees mean to detect fault and non fault conditions in alarm processing. NK method has been used to calculate the membership degrees for the existence of fault. The developed method has been conducted on several IEEE systems and also Perusahaan Listrik Negara (PLN) Sumbar-Riau system. The simulation results give the membership degrees of NK method close to ideal value as compared to HK and RNK methods. Ideal of membership degrees indicates the best application in power system protection. The percentage of working system of NK method is also found higher than that produced by HK and RNK methods. This revealed that the NK method gives the best working system to fault detection. 2007-11 Thesis http://eprints.utm.my/id/eprint/32372/ http://eprints.utm.my/id/eprint/32372/1/AzriyeniMFKE2007.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 Azriyenni, Azriyenni Pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur
description	This research develops alarm processing in a methodology combination of Probability Neural Network (RNK) and Fuzzy Relation (HK) is named as Neuro- Fuzzy (NK) in power system protection. In a power system protection, alarm processing is illustrated as an input of alarm pattern. While fault occurs, operated protective devices will send fault information in the form of alarm pattern. The RNK has alarm pattern as an input for every neuron output. RNK is also responsible to calculate the membership degrees of component system at faulted component class. On the other hand, HK is expended based on rule base of Sagittal Diagram. The Sagittal Diagram has been developed using HK equation known as parametric operators to find the membership degree. These membership degrees mean to detect fault and non fault conditions in alarm processing. NK method has been used to calculate the membership degrees for the existence of fault. The developed method has been conducted on several IEEE systems and also Perusahaan Listrik Negara (PLN) Sumbar-Riau system. The simulation results give the membership degrees of NK method close to ideal value as compared to HK and RNK methods. Ideal of membership degrees indicates the best application in power system protection. The percentage of working system of NK method is also found higher than that produced by HK and RNK methods. This revealed that the NK method gives the best working system to fault detection.
format	Thesis
qualification_level	Master's degree
author	Azriyenni, Azriyenni
author_facet	Azriyenni, Azriyenni
author_sort	Azriyenni, Azriyenni
title	Pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur
title_short	Pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur
title_full	Pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur
title_fullStr	Pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur
title_full_unstemmed	Pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur
title_sort	pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	http://eprints.utm.my/id/eprint/32372/1/AzriyeniMFKE2007.pdf
_version_	1747815986696814592

Pemprosesan penggera dalam perlindungan sistem kuasa melalui neuro-kabur

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