Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya

This project uses genetic algorithm (GA) for optimal voltage control of the power system and automatically will minimum a system loss. Newton-raphson method is used for load flow calculation and determining the power losses. Although several method of voltage control equipment can be used, the study...

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Main Author: Yahya, Mohd Supian
Format: Thesis
Language:en
Published: 1998
Online Access:https://ir.uitm.edu.my/id/eprint/101132/1/101132.pdf
https://ir.uitm.edu.my/id/eprint/101132/
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author Yahya, Mohd Supian
author_facet Yahya, Mohd Supian
author_sort Yahya, Mohd Supian
building Tun Abdul Razak Library
collection Institutional Repository
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
continent Asia
country Malaysia
description This project uses genetic algorithm (GA) for optimal voltage control of the power system and automatically will minimum a system loss. Newton-raphson method is used for load flow calculation and determining the power losses. Although several method of voltage control equipment can be used, the study focussed on compensating capacitors as the variable parameter. The proposed method was applied to 4-busbar, 5-busbar and IEEE 14-busbar system to show its feasibility and capability. All simulation was done on the MATLAB software package version 4.2c. 1.
format Thesis
id my.uitm.ir-101132
institution Universiti Teknologi Mara
language en
publishDate 1998
record_format eprints
spelling my.uitm.ir-1011322024-08-30T15:18:59Z https://ir.uitm.edu.my/id/eprint/101132/ Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya Yahya, Mohd Supian This project uses genetic algorithm (GA) for optimal voltage control of the power system and automatically will minimum a system loss. Newton-raphson method is used for load flow calculation and determining the power losses. Although several method of voltage control equipment can be used, the study focussed on compensating capacitors as the variable parameter. The proposed method was applied to 4-busbar, 5-busbar and IEEE 14-busbar system to show its feasibility and capability. All simulation was done on the MATLAB software package version 4.2c. 1. 1998 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/101132/1/101132.pdf Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya. (1998) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). <http://terminalib.uitm.edu.my/101132.pdf>
spellingShingle Yahya, Mohd Supian
Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya
title Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya
title_full Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya
title_fullStr Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya
title_full_unstemmed Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya
title_short Application of genetic algorithm for optimal voltage control of the power system / Mohd Supian Yahya
title_sort application of genetic algorithm for optimal voltage control of the power system / mohd supian yahya
url https://ir.uitm.edu.my/id/eprint/101132/1/101132.pdf
https://ir.uitm.edu.my/id/eprint/101132/
url_provider http://ir.uitm.edu.my/