Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab
This project report presents a new approach to the use of load flow by proposing the incorporation of the Genetic Algorithms (GAs) to search the optimal transformer tap setting in order to minimise the line losses. In this way , the choice of the transformer tap setting can be determined whilst mini...
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2003
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my.uitm.ir.777962023-07-25T08:47:54Z https://ir.uitm.edu.my/id/eprint/77796/ Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab Abd. Wahab, Mohd Syful Adly Evolutionary programming (Computer science). Genetic algorithms Electric power distribution. Electric power transmission This project report presents a new approach to the use of load flow by proposing the incorporation of the Genetic Algorithms (GAs) to search the optimal transformer tap setting in order to minimise the line losses. In this way , the choice of the transformer tap setting can be determined whilst minimising losses and at the same time improved the voltage profile in the power system The performance of this Genetic Algorithms technique was tested using standard IEEE 6-bus system and analysis of results is presented. 2003 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/77796/1/77796.pdf Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab. (2003) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
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Evolutionary programming (Computer science). Genetic algorithms Electric power distribution. Electric power transmission Abd. Wahab, Mohd Syful Adly Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab |
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This project report presents a new approach to the use of load flow by proposing the incorporation of the Genetic Algorithms (GAs) to search the optimal transformer tap setting in order to minimise the line losses. In this way , the choice of the transformer tap setting can be determined whilst minimising losses and at the same time improved the voltage profile in the power system The performance of this Genetic Algorithms technique was tested using standard IEEE 6-bus system and analysis of results is presented. |
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Abd. Wahab, Mohd Syful Adly |
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Abd. Wahab, Mohd Syful Adly |
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Abd. Wahab, Mohd Syful Adly |
title |
Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab |
title_short |
Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab |
title_full |
Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab |
title_fullStr |
Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab |
title_full_unstemmed |
Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab |
title_sort |
application of the genetic algorithms (gas) in determining the optimal transformer tap setting for loss minimization using matlab / mohd syful adly abd. wahab |
publishDate |
2003 |
url |
https://ir.uitm.edu.my/id/eprint/77796/1/77796.pdf https://ir.uitm.edu.my/id/eprint/77796/ |
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1772815541524758528 |
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13.160551 |