APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOW

APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOW

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In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the economic dispatch problem. The objective is to minimize the total generation fuel and keep the power outputs of generators; bus voltages and transformer tap setting in their secure limits. The co...

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Main Authors: D. Ben Attous, Y. Labbi
Format: Article
Language:English
Published: El Oued University 2010-12-01
Series:Journal of Fundamental and Applied Sciences
Online Access:http://old.jfas.info/index.php/JFAS/article/view/19-94/pdf
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spelling doaj-654ea84a9838428b801d6a6b644756f42020-11-24T21:55:36ZengEl Oued UniversityJournal of Fundamental and Applied Sciences1112-98672010-12-0122254271 APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOWD. Ben AttousY. Labbi In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the economic dispatch problem. The objective is to minimize the total generation fuel and keep the power outputs of generators; bus voltages and transformer tap setting in their secure limits. The conventional load flow and incorporation of the proposed method using PSO has been examined and tested for standard IEEE 30 bus system. The PSO method is demonstrated and compared with conventional OPF method (NR, Quasi Newton), and the intelligence heuristic algorithms such ac genetic algorithm, evolutionary programming. From simulation results it has been found that PSO method is highly competitive for its better general convergence performance. http://old.jfas.info/index.php/JFAS/article/view/19-94/pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. Ben Attous
Y. Labbi
spellingShingle D. Ben Attous
Y. Labbi
APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOW
Journal of Fundamental and Applied Sciences
author_facet D. Ben Attous
Y. Labbi
author_sort D. Ben Attous
title APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOW
title_short APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOW
title_full APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOW
title_fullStr APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOW
title_full_unstemmed APPLICATION OF A PARTICLE SWARM OPTIMIZATION IN AN OPTIMAL POWER FLOW
title_sort application of a particle swarm optimization in an optimal power flow
publisher El Oued University
series Journal of Fundamental and Applied Sciences
issn 1112-9867
publishDate 2010-12-01
description In this paper an efficient and Particle Swarm Optimization (PSO) has been presented for solving the economic dispatch problem. The objective is to minimize the total generation fuel and keep the power outputs of generators; bus voltages and transformer tap setting in their secure limits. The conventional load flow and incorporation of the proposed method using PSO has been examined and tested for standard IEEE 30 bus system. The PSO method is demonstrated and compared with conventional OPF method (NR, Quasi Newton), and the intelligence heuristic algorithms such ac genetic algorithm, evolutionary programming. From simulation results it has been found that PSO method is highly competitive for its better general convergence performance.
url http://old.jfas.info/index.php/JFAS/article/view/19-94/pdf
work_keys_str_mv AT dbenattous applicationofaparticleswarmoptimizationinanoptimalpowerflow
AT ylabbi applicationofaparticleswarmoptimizationinanoptimalpowerflow
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