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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Main Author: Abd. Wahab, Mohd Syful Adly
Format: Thesis
Language:English
Published: 2003
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/77796/1/77796.pdf
https://ir.uitm.edu.my/id/eprint/77796/
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spelling 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).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Evolutionary programming (Computer science). Genetic algorithms
Electric power distribution. Electric power transmission
spellingShingle 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
description 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.
format Thesis
author Abd. Wahab, Mohd Syful Adly
author_facet Abd. Wahab, Mohd Syful Adly
author_sort 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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score 13.160551