Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali
This paper presents a hydrothermal coordination between hydro electric and thermal plant in a power system using Genetic Algorithm approach. The problem is to determine hydro and thermal generation scheduling for a day usually or hourly basis simultaneously satisfying hydraulic, thermal and electric...
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1998
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my.uitm.ir.1033082024-09-28T16:43:11Z https://ir.uitm.edu.my/id/eprint/103308/ Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali Ali, Norehsan This paper presents a hydrothermal coordination between hydro electric and thermal plant in a power system using Genetic Algorithm approach. The problem is to determine hydro and thermal generation scheduling for a day usually or hourly basis simultaneously satisfying hydraulic, thermal and electrical constraint while optimizing a criterion of performance. The GA developed, aim to obtained the optimized output of the Ps (steam plant) and PH (hydro plant) with minimum cost for the steam plant, since the generation cost for the hydro plant is absolutely free. The result achieved with the GA technique is compared with result from traditional non-linear optimization (X^y iteration with loss) technique 1998 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/103308/1/103308.pdf Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali. (1998) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/103308.pdf> |
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This paper presents a hydrothermal coordination between hydro electric and thermal plant in a power system using Genetic Algorithm approach. The problem is to determine hydro and thermal generation scheduling for a day usually or hourly basis simultaneously satisfying hydraulic, thermal and electrical constraint while optimizing a criterion of performance. The GA developed, aim to obtained the optimized output of the Ps (steam plant) and PH (hydro plant) with minimum cost for the steam plant, since the generation cost for the hydro plant is absolutely free. The result achieved with the GA technique is compared with result from traditional non-linear optimization (X^y iteration with loss) technique |
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Ali, Norehsan |
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Ali, Norehsan Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali |
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Ali, Norehsan |
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Ali, Norehsan |
title |
Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali |
title_short |
Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali |
title_full |
Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali |
title_fullStr |
Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali |
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Hydrothermal scheduling using genetic algorithm approach / Norehsan Ali |
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hydrothermal scheduling using genetic algorithm approach / norehsan ali |
publishDate |
1998 |
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https://ir.uitm.edu.my/id/eprint/103308/1/103308.pdf https://ir.uitm.edu.my/id/eprint/103308/ |
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