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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Bibliographic Details
Main Author:	Abd. Wahab, Mohd Syful Adly
Format:	Thesis
Language:	English
Published:	2003
Subjects:	Evolutionary programming (Computer science) Genetic algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/77796/1/77796.pdf
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id	my-uitm-ir.77796
record_format	uketd_dc
spelling	my-uitm-ir.777962023-07-25T08:47:54Z Application of the Genetic Algorithms (GAs) in determining the optimal transformer tap setting for loss minimization using MATLAB / Mohd Syful Adly Abd. Wahab 2003 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 https://ir.uitm.edu.my/id/eprint/77796/ https://ir.uitm.edu.my/id/eprint/77796/1/77796.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abdul Rahman, Titik Khawa
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Rahman, Titik Khawa
topic	Evolutionary programming (Computer science) Genetic algorithms Evolutionary programming (Computer science) Genetic algorithms
spellingShingle	Evolutionary programming (Computer science) Genetic algorithms Evolutionary programming (Computer science) Genetic algorithms 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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2003
url	https://ir.uitm.edu.my/id/eprint/77796/1/77796.pdf
_version_	1783736169509421056

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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