Implementing modified particle swarm optimization method to solve economic load dispatch problem

Economic Load Dispatch (ELD) is one of the important optimization tasks which provide an economic condition for power systems. In this work, Modified Particle Swarm Optimization (PSO) as an efficient and reliable evolutionary based approach has been proposed to solve the constraint economic load dis...

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Main Author:	Zaraki, Abolfazl
Format:	Thesis
Language:	English
Published:	2009
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/18344/5/AbolfazlZarakiMFKE2009.pdf
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id	my-utm-ep.18344
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spelling	my-utm-ep.183442017-09-20T06:52:51Z Implementing modified particle swarm optimization method to solve economic load dispatch problem 2009-11 Zaraki, Abolfazl TK Electrical engineering. Electronics Nuclear engineering Economic Load Dispatch (ELD) is one of the important optimization tasks which provide an economic condition for power systems. In this work, Modified Particle Swarm Optimization (PSO) as an efficient and reliable evolutionary based approach has been proposed to solve the constraint economic load dispatch problem. The proposed method is able to determine, output power generation for all of the power generation units, so that the total, constraint cost function is minimized. In project report, a piecewise quadratic function is used to represent the fuel cost of each generation units, and the B-coefficient method is used to model transmission losses. The feasibility of the proposed Modified PSO is demonstrated for 4 power system test cases, consisting 3,6,15, and 40 generation units. The obtained Modified PSO results are compared with Standard PSO (SPSO), Genetic Algorithm (GA) and Quadratic Programming (QP) base approaches. These results reveal that the proposed method is capable to get higher quality solution including mathematical simplicity, fast convergence, and robustness to solve hard economic load dispatch problem. 2009-11 Thesis http://eprints.utm.my/id/eprint/18344/ http://eprints.utm.my/id/eprint/18344/5/AbolfazlZarakiMFKE2009.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Zaraki, Abolfazl Implementing modified particle swarm optimization method to solve economic load dispatch problem
description	Economic Load Dispatch (ELD) is one of the important optimization tasks which provide an economic condition for power systems. In this work, Modified Particle Swarm Optimization (PSO) as an efficient and reliable evolutionary based approach has been proposed to solve the constraint economic load dispatch problem. The proposed method is able to determine, output power generation for all of the power generation units, so that the total, constraint cost function is minimized. In project report, a piecewise quadratic function is used to represent the fuel cost of each generation units, and the B-coefficient method is used to model transmission losses. The feasibility of the proposed Modified PSO is demonstrated for 4 power system test cases, consisting 3,6,15, and 40 generation units. The obtained Modified PSO results are compared with Standard PSO (SPSO), Genetic Algorithm (GA) and Quadratic Programming (QP) base approaches. These results reveal that the proposed method is capable to get higher quality solution including mathematical simplicity, fast convergence, and robustness to solve hard economic load dispatch problem.
format	Thesis
qualification_level	Master's degree
author	Zaraki, Abolfazl
author_facet	Zaraki, Abolfazl
author_sort	Zaraki, Abolfazl
title	Implementing modified particle swarm optimization method to solve economic load dispatch problem
title_short	Implementing modified particle swarm optimization method to solve economic load dispatch problem
title_full	Implementing modified particle swarm optimization method to solve economic load dispatch problem
title_fullStr	Implementing modified particle swarm optimization method to solve economic load dispatch problem
title_full_unstemmed	Implementing modified particle swarm optimization method to solve economic load dispatch problem
title_sort	implementing modified particle swarm optimization method to solve economic load dispatch problem
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	http://eprints.utm.my/id/eprint/18344/5/AbolfazlZarakiMFKE2009.pdf
_version_	1747815252022525952

Implementing modified particle swarm optimization method to solve economic load dispatch problem

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