Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman

This paper proposed one of the Evolutionary Computation (EC) components which is Particle Swarm Optimization (PSO) in solving a problem of unit commitment (UC). In fact, one of the common problems in electrical power system is unit commitment (UC) which is complicated decision making for a various c...

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Main Author:	Ab Rahman, Muhammad Aqil
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Evolutionary programming (Computer science) Genetic algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/78054/1/78054.pdf
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id	my-uitm-ir.78054
record_format	uketd_dc
spelling	my-uitm-ir.780542023-07-20T02:33:32Z Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman 2014 Ab Rahman, Muhammad Aqil Evolutionary programming (Computer science). Genetic algorithms This paper proposed one of the Evolutionary Computation (EC) components which is Particle Swarm Optimization (PSO) in solving a problem of unit commitment (UC). In fact, one of the common problems in electrical power system is unit commitment (UC) which is complicated decision making for a various constraints and may affect the economical scheduling of units. Basically, the unit commitment problems involve scheduling on/off states of generating units, which minimizes the operating cost, start-up cost and shut-down cost as mentioned for various operating constraints. So, the objective of this study is to analyze and search for the UC schedule which generates minimum operational cost by using 10 generators. This system had been tested in satisfying the total output with load demand which is divided into number of small intervals of 24 hours. By using programming method, the problem of UC has been solved efficiently by a lot of discussion on PSO technique based on IEE Transaction on Power System data. Therefore, the optimal time and losses can be minimized which may affect the total cost operating by determining which and how many units should be operate in one time to meet a required load demand while satisfying specified operating criteria in order to reach an economic operation. 2014 Thesis https://ir.uitm.edu.my/id/eprint/78054/ https://ir.uitm.edu.my/id/eprint/78054/1/78054.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Ahmad, Norlee Husnafeza
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Ahmad, Norlee Husnafeza
topic	Evolutionary programming (Computer science) Genetic algorithms
spellingShingle	Evolutionary programming (Computer science) Genetic algorithms Ab Rahman, Muhammad Aqil Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman
description	This paper proposed one of the Evolutionary Computation (EC) components which is Particle Swarm Optimization (PSO) in solving a problem of unit commitment (UC). In fact, one of the common problems in electrical power system is unit commitment (UC) which is complicated decision making for a various constraints and may affect the economical scheduling of units. Basically, the unit commitment problems involve scheduling on/off states of generating units, which minimizes the operating cost, start-up cost and shut-down cost as mentioned for various operating constraints. So, the objective of this study is to analyze and search for the UC schedule which generates minimum operational cost by using 10 generators. This system had been tested in satisfying the total output with load demand which is divided into number of small intervals of 24 hours. By using programming method, the problem of UC has been solved efficiently by a lot of discussion on PSO technique based on IEE Transaction on Power System data. Therefore, the optimal time and losses can be minimized which may affect the total cost operating by determining which and how many units should be operate in one time to meet a required load demand while satisfying specified operating criteria in order to reach an economic operation.
format	Thesis
qualification_level	Bachelor degree
author	Ab Rahman, Muhammad Aqil
author_facet	Ab Rahman, Muhammad Aqil
author_sort	Ab Rahman, Muhammad Aqil
title	Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman
title_short	Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman
title_full	Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman
title_fullStr	Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman
title_full_unstemmed	Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman
title_sort	solving unit commitment problem by using particle swarm optimization technique / muhammad aqil ab rahman
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/78054/1/78054.pdf
_version_	1783736202996744192

Solving unit commitment problem by using particle swarm optimization technique / Muhammad Aqil Ab Rahman

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