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:English
Published: 2007
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/4841/
http://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf
id uitm-4841
recordtype eprints
spelling uitm-48412018-09-06T09:20:40Z http://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 http://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf Abdul Kadir, Filzah (2007) An artificial neural network based technique for evaluating the effect of generator outage contingencies / Filzah Abdul Kadir. Masters thesis, Universiti Teknologi MARA.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Neural networks (Computer science)
Dynamoelectric machinery and auxiliaries.Including generators, motors, transformers
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
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
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
publishDate 2007
url http://ir.uitm.edu.my/id/eprint/4841/
http://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf
first_indexed 2023-09-18T22:47:00Z
last_indexed 2023-09-18T22:47:00Z
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