Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya
This project uses genetic algorithm (GA) for optimal voltage control of the power system and automatically will minimum a system loss. Newton-raphson method is used for load flow calculation and determining the power losses. Although several method of voltage control equipment can be used, the study...
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| Format: | Thesis |
| Language: | English |
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1998
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| Online Access: | https://ir.uitm.edu.my/id/eprint/101132/1/101132.pdf |
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my-uitm-ir.1011322024-08-30T15:18:59Z Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya 1998 Yahya, Mohd Supian This project uses genetic algorithm (GA) for optimal voltage control of the power system and automatically will minimum a system loss. Newton-raphson method is used for load flow calculation and determining the power losses. Although several method of voltage control equipment can be used, the study focussed on compensating capacitors as the variable parameter. The proposed method was applied to 4-busbar, 5-busbar and IEEE 14-busbar system to show its feasibility and capability. All simulation was done on the MATLAB software package version 4.2c. 1. 1998 Thesis https://ir.uitm.edu.my/id/eprint/101132/ https://ir.uitm.edu.my/id/eprint/101132/1/101132.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Wan Abdullah, Wan Nor Ainin |
| institution |
Universiti Teknologi MARA |
| collection |
UiTM Institutional Repository |
| language |
English |
| advisor |
Wan Abdullah, Wan Nor Ainin |
| description |
This project uses genetic algorithm (GA) for optimal voltage control of the power system and automatically will minimum a system loss. Newton-raphson method is used for load flow calculation and determining the power losses. Although several method of voltage control equipment can be used, the study focussed on compensating capacitors as the variable parameter. The proposed method was applied to 4-busbar, 5-busbar and IEEE 14-busbar system to show its feasibility and capability. All simulation was done on the MATLAB software package version 4.2c. 1. |
| format |
Thesis |
| qualification_level |
Bachelor degree |
| author |
Yahya, Mohd Supian |
| spellingShingle |
Yahya, Mohd Supian Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya |
| author_facet |
Yahya, Mohd Supian |
| author_sort |
Yahya, Mohd Supian |
| title |
Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya |
| title_short |
Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya |
| title_full |
Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya |
| title_fullStr |
Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya |
| title_full_unstemmed |
Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya |
| title_sort |
application of genetic algorithm for optimal voltage control of the power system / mohd supian yahya |
| granting_institution |
Universiti Teknologi MARA (UiTM) |
| granting_department |
Faculty of Electrical Engineering |
| publishDate |
1998 |
| url |
https://ir.uitm.edu.my/id/eprint/101132/1/101132.pdf |
| _version_ |
1811769132759121920 |