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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| Format: | Thesis |
| Language: | English |
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2007
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| Online Access: | https://ir.uitm.edu.my/id/eprint/4841/ |
| _version_ | 1848802766657421312 |
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| author | Abdul Kadir, Filzah |
| author_facet | Abdul Kadir, Filzah |
| author_sort | Abdul Kadir, Filzah |
| building | UiTM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T21:28:34Z |
| format | Thesis |
| id | uitm-4841 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T21:28:34Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-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 Abdul Kadir, Filzah (2007) 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/ |