An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir

This thesis presents the development of a fast and accurate approach using Artificial Neural Network Based Technique to evaluate the performance of power system during forced generator outages incident. Prior to the forced generator outages,the power system could be in stable state or unstable state...

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Bibliographic Details
Main Author:	Abdul Kadir, Filzah
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf
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id	my-uitm-ir.4841
record_format	uketd_dc
spelling	my-uitm-ir.48412022-06-13T08:40:12Z An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir 2007 Abdul Kadir, Filzah Neural networks (Computer science) Dynamoelectric machinery and auxiliaries.Including generators, motors, transformers This thesis presents the development of a fast and accurate approach using Artificial Neural Network Based Technique to evaluate the performance of power system during forced generator outages incident. Prior to the forced generator outages,the power system could be in stable state or unstable state. In this research, the evaluation of a power system performance was measured through the voltage, frequency and angle of the system. 2007 Thesis https://ir.uitm.edu.my/id/eprint/4841/ https://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf text en public masters Universiti Teknologi MARA Faculty of Electrical Engineering
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Neural networks (Computer science) Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Neural networks (Computer science) Abdul Kadir, Filzah An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir
description	This thesis presents the development of a fast and accurate approach using Artificial Neural Network Based Technique to evaluate the performance of power system during forced generator outages incident. Prior to the forced generator outages,the power system could be in stable state or unstable state. In this research, the evaluation of a power system performance was measured through the voltage, frequency and angle of the system.
format	Thesis
qualification_level	Master's degree
author	Abdul Kadir, Filzah
author_facet	Abdul Kadir, Filzah
author_sort	Abdul Kadir, Filzah
title	An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir
title_short	An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir
title_full	An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir
title_fullStr	An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir
title_full_unstemmed	An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir
title_sort	artificial neural network based technique for evaluating the effect of generator outage contingencies / filzah abdul kadir
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	https://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf
_version_	1783733112778260480

An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir

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