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Tap setting transformer for loss minimization using genetic algorithm / Mazyudin Mokhtar

This paper presents an alternative approach to the use of load flow by incorporation Genetic Algorithm (GA) to search the optimal transformer tap setting in order to minimize losses. The choice of transformer tap setting can be determined whilst minimizing losses. The performance of this GA techniqu...

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Main Author: Mokhtar, Mazyudin
Format: Thesis
Language:English
Published: 2007
Online Access:https://ir.uitm.edu.my/id/eprint/84646/1/84646.pdf
https://ir.uitm.edu.my/id/eprint/84646/
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id my.uitm.ir.84646
record_format eprints
spelling my.uitm.ir.846462024-02-23T03:53:29Z https://ir.uitm.edu.my/id/eprint/84646/ Tap setting transformer for loss minimization using genetic algorithm / Mazyudin Mokhtar Mokhtar, Mazyudin This paper presents an alternative approach to the use of load flow by incorporation Genetic Algorithm (GA) to search the optimal transformer tap setting in order to minimize losses. The choice of transformer tap setting can be determined whilst minimizing losses. The performance of this GA technique is to be tested using standard IEEE 6-bus and IEEE 30-bus system for its capability and feasibility. All simulations are done using Matlab program version 7.0 2007 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84646/1/84646.pdf Tap setting transformer for loss minimization using genetic algorithm / Mazyudin Mokhtar. (2007) 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
description This paper presents an alternative approach to the use of load flow by incorporation Genetic Algorithm (GA) to search the optimal transformer tap setting in order to minimize losses. The choice of transformer tap setting can be determined whilst minimizing losses. The performance of this GA technique is to be tested using standard IEEE 6-bus and IEEE 30-bus system for its capability and feasibility. All simulations are done using Matlab program version 7.0
format Thesis
author Mokhtar, Mazyudin
spellingShingle Mokhtar, Mazyudin
Tap setting transformer for loss minimization using genetic algorithm / Mazyudin Mokhtar
author_facet Mokhtar, Mazyudin
author_sort Mokhtar, Mazyudin
title Tap setting transformer for loss minimization using genetic algorithm / Mazyudin Mokhtar
title_short Tap setting transformer for loss minimization using genetic algorithm / Mazyudin Mokhtar
title_full Tap setting transformer for loss minimization using genetic algorithm / Mazyudin Mokhtar
title_fullStr Tap setting transformer for loss minimization using genetic algorithm / Mazyudin Mokhtar
title_full_unstemmed Tap setting transformer for loss minimization using genetic algorithm / Mazyudin Mokhtar
title_sort tap setting transformer for loss minimization using genetic algorithm / mazyudin mokhtar
publishDate 2007
url https://ir.uitm.edu.my/id/eprint/84646/1/84646.pdf
https://ir.uitm.edu.my/id/eprint/84646/
_version_ 1792159386728136704
score 13.211869

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