Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem

The main objective of economic load dispatch (ELD) is to allocate the output power generator at minimum cost while satisfying all the operation constraints. This paper presents a new hybrid method by integrating particle swarm optimization with time varying acceleration coefficients and evolutionary...

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Main Authors:	Abdullah, M.N., Rahim, N.A., Bakar, A.H.A., Mokhlis, H., Illias, H.A., Jamian, J.J.
Format:	Article
Published:	Zagadnienie ekonomicznie uzasadnionego określenia wytwarzanej energii elektrycznej o charakterystyce niewypukłej - wykorzystanie metody optymalizacji roju cza{ogonek}stek 2013
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://www.red.pe.org.pl/articles/2013/2a/31.pdf https://www.red.pe.org.pl/articles/2013/2a/31.pdf http://eprints.um.edu.my/7803/1/Efficient_evolutionary_particle_swarm_optimization_approach_for_nonconvex_economic_load_dispatch_problem.pdf

id	um-7803
recordtype	eprints
spelling	um-78032017-11-13T08:14:03Z Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem Abdullah, M.N. Rahim, N.A. Bakar, A.H.A. Mokhlis, H. Illias, H.A. Jamian, J.J. TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering The main objective of economic load dispatch (ELD) is to allocate the output power generator at minimum cost while satisfying all the operation constraints. This paper presents a new hybrid method by integrating particle swarm optimization with time varying acceleration coefficients and evolutionary programming (TVAC-EPSO) for solving nonconvex ELD problem. The competition, sorting and selection in EP method are used to determine the best particle in PSO for finding the optimum solution efficiently. The proposed TVAC-EPSO has been tested on three different power system benchmarks. The simulation results have demonstrated the effectiveness of the proposed method in solving nonconvex ELD problem. Zagadnienie ekonomicznie uzasadnionego określenia wytwarzanej energii elektrycznej o charakterystyce niewypukłej - wykorzystanie metody optymalizacji roju cza{ogonek}stek 2013 Article PeerReviewed application/pdf http://eprints.um.edu.my/7803/1/Efficient_evolutionary_particle_swarm_optimization_approach_for_nonconvex_economic_load_dispatch_problem.pdf https://www.red.pe.org.pl/articles/2013/2a/31.pdf Abdullah, M.N.; Rahim, N.A.; Bakar, A.H.A.; Mokhlis, H.; Illias, H.A.; Jamian, J.J. (2013) Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem. Przeglad Elektrotechniczny <http://eprints.um.edu.my/view/publication/Przeglad_Elektrotechniczny.html>, 89 (2 A). pp. 139-143. ISSN 00332097 http://eprints.um.edu.my/7803/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Abdullah, M.N. Rahim, N.A. Bakar, A.H.A. Mokhlis, H. Illias, H.A. Jamian, J.J. Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem
description	The main objective of economic load dispatch (ELD) is to allocate the output power generator at minimum cost while satisfying all the operation constraints. This paper presents a new hybrid method by integrating particle swarm optimization with time varying acceleration coefficients and evolutionary programming (TVAC-EPSO) for solving nonconvex ELD problem. The competition, sorting and selection in EP method are used to determine the best particle in PSO for finding the optimum solution efficiently. The proposed TVAC-EPSO has been tested on three different power system benchmarks. The simulation results have demonstrated the effectiveness of the proposed method in solving nonconvex ELD problem.
format	Article
author	Abdullah, M.N. Rahim, N.A. Bakar, A.H.A. Mokhlis, H. Illias, H.A. Jamian, J.J.
author_facet	Abdullah, M.N. Rahim, N.A. Bakar, A.H.A. Mokhlis, H. Illias, H.A. Jamian, J.J.
author_sort	Abdullah, M.N.
title	Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem
title_short	Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem
title_full	Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem
title_fullStr	Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem
title_full_unstemmed	Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem
title_sort	efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem
publisher	Zagadnienie ekonomicznie uzasadnionego określenia wytwarzanej energii elektrycznej o charakterystyce niewypukłej - wykorzystanie metody optymalizacji roju cza{ogonek}stek
publishDate	2013
url	https://www.red.pe.org.pl/articles/2013/2a/31.pdf https://www.red.pe.org.pl/articles/2013/2a/31.pdf http://eprints.um.edu.my/7803/1/Efficient_evolutionary_particle_swarm_optimization_approach_for_nonconvex_economic_load_dispatch_problem.pdf
first_indexed	2018-09-06T05:29:05Z
last_indexed	2018-09-06T05:29:05Z
_version_	1610834767882747904

Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem

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