Reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / Azahar Zullkepli

Reactive power reserve margin management in power system is important in order to obtain their maximum voltage improvement. This project presents Evolutionary Programming (EP) optimization technique as the application shows that after the optimal reactive power rescheduling, the reactive power of th...

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Main Author: Zullkepli, Azahar
Format: Thesis
Language:English
Published: 2007
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Online Access:https://ir.uitm.edu.my/id/eprint/79486/1/79486.pdf
https://ir.uitm.edu.my/id/eprint/79486/
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spelling my.uitm.ir.794862024-08-22T03:33:45Z https://ir.uitm.edu.my/id/eprint/79486/ Reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / Azahar Zullkepli Zullkepli, Azahar TK Electrical engineering. Electronics. Nuclear engineering Reactive power reserve margin management in power system is important in order to obtain their maximum voltage improvement. This project presents Evolutionary Programming (EP) optimization technique as the application shows that after the optimal reactive power rescheduling, the reactive power of the system will be increased and at the same time voltage will be improved. Several fitness functions such as total power loss minimization and voltage profile improvement has been explored through the implemented Evolutionary Programming optimization technique. The proposed technique was tested with IEEE 30-Bus Test System and the programmed were developed using MATLAB software 2007 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/79486/1/79486.pdf Reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / Azahar Zullkepli. (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
topic TK Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK Electrical engineering. Electronics. Nuclear engineering
Zullkepli, Azahar
Reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / Azahar Zullkepli
description Reactive power reserve margin management in power system is important in order to obtain their maximum voltage improvement. This project presents Evolutionary Programming (EP) optimization technique as the application shows that after the optimal reactive power rescheduling, the reactive power of the system will be increased and at the same time voltage will be improved. Several fitness functions such as total power loss minimization and voltage profile improvement has been explored through the implemented Evolutionary Programming optimization technique. The proposed technique was tested with IEEE 30-Bus Test System and the programmed were developed using MATLAB software
format Thesis
author Zullkepli, Azahar
author_facet Zullkepli, Azahar
author_sort Zullkepli, Azahar
title Reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / Azahar Zullkepli
title_short Reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / Azahar Zullkepli
title_full Reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / Azahar Zullkepli
title_fullStr Reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / Azahar Zullkepli
title_full_unstemmed Reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / Azahar Zullkepli
title_sort reactive power reserve margin management for voltage improvement using evolutionary programming optimization technique / azahar zullkepli
publishDate 2007
url https://ir.uitm.edu.my/id/eprint/79486/1/79486.pdf
https://ir.uitm.edu.my/id/eprint/79486/
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score 13.19449