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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| 格式: | Thesis |
| 语言: | English |
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2007
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| 在线阅读: | https://ir.uitm.edu.my/id/eprint/4841/1/TM_FILZAH%20ABDUL%20KADIR%20EE%2007_5.pdf |
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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 |