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
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id	my-uitm-ir.84736
record_format	uketd_dc
spelling	my-uitm-ir.847362024-02-14T02:34:04Z Optimal location and sizing of distributed generation for economic operation in power system using evolutionary programming optimization technique / Mohd Hafiz Abu Chek 2007 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 https://ir.uitm.edu.my/id/eprint/84736/ https://ir.uitm.edu.my/id/eprint/84736/1/84736.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
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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	https://ir.uitm.edu.my/id/eprint/84736/1/84736.pdf
_version_	1794192044599541760

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

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