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Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek

This project report presents a new technique to find the optimum location and size of distributed generation (DG) in a power system using an Evolutionary Programming optimization technique. This study will utilize concept of Evolutionary Programming (EP) by using MATLAB software. The study indicates...

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Main Author: Abu Chek, Mohd Hafiz
Format: Thesis
Language:English
Published: 2007
Online Access:https://ir.uitm.edu.my/id/eprint/84736/1/84736.pdf
https://ir.uitm.edu.my/id/eprint/84736/
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id my.uitm.ir.84736
record_format eprints
spelling my.uitm.ir.847362024-02-14T02:34:04Z https://ir.uitm.edu.my/id/eprint/84736/ Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek Abu Chek, Mohd Hafiz This project report presents a new technique to find the optimum location and size of distributed generation (DG) in a power system using an Evolutionary Programming optimization technique. This study will utilize concept of Evolutionary Programming (EP) by using MATLAB software. The study indicates several fitness function include total loss minimization, total cost minimization and maximisation of voltage level in power system. Comparison was made in order to determine the best fitness function to be used for solving this technique. The proposed technique is tested on IEEE 26 bus reliability test system. 2007 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84736/1/84736.pdf Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek. (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 project report presents a new technique to find the optimum location and size of distributed generation (DG) in a power system using an Evolutionary Programming optimization technique. This study will utilize concept of Evolutionary Programming (EP) by using MATLAB software. The study indicates several fitness function include total loss minimization, total cost minimization and maximisation of voltage level in power system. Comparison was made in order to determine the best fitness function to be used for solving this technique. The proposed technique is tested on IEEE 26 bus reliability test system.
format Thesis
author Abu Chek, Mohd Hafiz
spellingShingle Abu Chek, Mohd Hafiz
Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek
author_facet Abu Chek, Mohd Hafiz
author_sort Abu Chek, Mohd Hafiz
title Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek
title_short Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek
title_full Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek
title_fullStr Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek
title_full_unstemmed Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek
title_sort optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / mohd hafiz abu chek
publishDate 2007
url https://ir.uitm.edu.my/id/eprint/84736/1/84736.pdf
https://ir.uitm.edu.my/id/eprint/84736/
_version_ 1792159391252742144
score 13.211869

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