Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar

This project report presents a genetic algorithm approach for determining the priority order in the commitment of thermal units in power generation. The purpose of the problem is to properly schedule on/off states at the same times determining the generation of each unit that is to be committed of a...

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Main Author:	Sahar, Zairul Nizam
Format:	Thesis
Language:	English
Published:	2000
Subjects:	Evolutionary programming (Computer science) Genetic algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/77794/1/77794.pdf
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id	my-uitm-ir.77794
record_format	uketd_dc
spelling	my-uitm-ir.777942023-07-25T08:42:36Z Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar 2000 Sahar, Zairul Nizam Evolutionary programming (Computer science). Genetic algorithms Electric power distribution. Electric power transmission This project report presents a genetic algorithm approach for determining the priority order in the commitment of thermal units in power generation. The purpose of the problem is to properly schedule on/off states at the same times determining the generation of each unit that is to be committed of all power station units in a system to meet the load demand, so that the overall generation cost is a minimum, while satisfying various constraints. This project report examines the feasibility of using genetic algorithm and shows the simulation result to make a comparison of cost generated between the unit thermals. 2000 Thesis https://ir.uitm.edu.my/id/eprint/77794/ https://ir.uitm.edu.my/id/eprint/77794/1/77794.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
topic	Evolutionary programming (Computer science) Genetic algorithms Evolutionary programming (Computer science) Genetic algorithms
spellingShingle	Evolutionary programming (Computer science) Genetic algorithms Evolutionary programming (Computer science) Genetic algorithms Sahar, Zairul Nizam Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar
description	This project report presents a genetic algorithm approach for determining the priority order in the commitment of thermal units in power generation. The purpose of the problem is to properly schedule on/off states at the same times determining the generation of each unit that is to be committed of all power station units in a system to meet the load demand, so that the overall generation cost is a minimum, while satisfying various constraints. This project report examines the feasibility of using genetic algorithm and shows the simulation result to make a comparison of cost generated between the unit thermals.
format	Thesis
qualification_level	Bachelor degree
author	Sahar, Zairul Nizam
author_facet	Sahar, Zairul Nizam
author_sort	Sahar, Zairul Nizam
title	Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar
title_short	Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar
title_full	Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar
title_fullStr	Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar
title_full_unstemmed	Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar
title_sort	genetic algorithm based for unit commitment in power systems / zairul nizam sahar
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2000
url	https://ir.uitm.edu.my/id/eprint/77794/1/77794.pdf
_version_	1783736168977793024

Genetic algorithm based for unit commitment in power systems / Zairul Nizam Sahar

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