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, Ab Halim Abu, Mokhlis, Hazlie, Illias, Hazlee Azil, Jamian, J.J.
Format: Article
Language:English
Published: Zagadnienie ekonomicznie uzasadnionego określenia wytwarzanej energii elektrycznej o charakterystyce niewypukłej - wykorzystanie metody optymalizacji roju cza{ogonek}stek 2013
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Online Access:http://eprints.um.edu.my/7803/1/Efficient_evolutionary_particle_swarm_optimization_approach_for_nonconvex_economic_load_dispatch_problem.pdf
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author Abdullah, M.N.
Rahim, N.A.
Bakar, Ab Halim Abu
Mokhlis, Hazlie
Illias, Hazlee Azil
Jamian, J.J.
author_facet Abdullah, M.N.
Rahim, N.A.
Bakar, Ab Halim Abu
Mokhlis, Hazlie
Illias, Hazlee Azil
Jamian, J.J.
author_sort Abdullah, M.N.
collection UM
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.
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institution Universiti Malaya
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publishDate 2013
publisher Zagadnienie ekonomicznie uzasadnionego określenia wytwarzanej energii elektrycznej o charakterystyce niewypukłej - wykorzystanie metody optymalizacji roju cza{ogonek}stek
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spelling um.eprints-78032019-12-06T08:38:40Z http://eprints.um.edu.my/7803/ Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem Abdullah, M.N. Rahim, N.A. Bakar, Ab Halim Abu Mokhlis, Hazlie Illias, Hazlee Azil 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 en http://eprints.um.edu.my/7803/1/Efficient_evolutionary_particle_swarm_optimization_approach_for_nonconvex_economic_load_dispatch_problem.pdf Abdullah, M.N. and Rahim, N.A. and Bakar, Ab Halim Abu and Mokhlis, Hazlie and Illias, Hazlee Azil and Jamian, J.J. (2013) Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem. Przeglad Elektrotechniczny, 89 (2 A). pp. 139-143. ISSN 00332097 , https://www.red.pe.org.pl/articles/2013/2a/31.pdf
spellingShingle TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Abdullah, M.N.
Rahim, N.A.
Bakar, Ab Halim Abu
Mokhlis, Hazlie
Illias, Hazlee Azil
Jamian, J.J.
Efficient evolutionary particle swarm optimization approach for nonconvex economic load dispatch problem
title 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_short 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
topic TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
url http://eprints.um.edu.my/7803/1/Efficient_evolutionary_particle_swarm_optimization_approach_for_nonconvex_economic_load_dispatch_problem.pdf
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