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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Main Author: Abdul Kadir, Filzah
Format: Thesis
Language:en
Published: 2007
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf
https://ir.uitm.edu.my/id/eprint/4841/
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author Abdul Kadir, Filzah
author_facet Abdul Kadir, Filzah
author_sort Abdul Kadir, Filzah
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
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
id my.uitm.ir-4841
institution Universiti Teknologi Mara
language en
publishDate 2007
record_format eprints
spelling my.uitm.ir-48412022-06-13T08:40:12Z https://ir.uitm.edu.my/id/eprint/4841/ An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir. (2007) Masters thesis, thesis, Universiti Teknologi MARA. <http://terminalib.uitm.edu.my/4841.pdf>
spellingShingle Neural networks (Computer science)
Dynamoelectric machinery and auxiliaries.Including generators, motors, transformers
Abdul Kadir, Filzah
An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir
title 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_short 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
topic Neural networks (Computer science)
Dynamoelectric machinery and auxiliaries.Including generators, motors, transformers
url https://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf
https://ir.uitm.edu.my/id/eprint/4841/
url_provider http://ir.uitm.edu.my/