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Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman

This paper presents application of particle swarm optimization (PSO) technique for assessment of Dynamic Economic Dispatch (DED). Using this method, the best minimum of total generation cost can be obtained. DED is used to determine the optimal schedule of on-line generating output so as to meet the...

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Main Author: Kamazahruman, Haryanti
Format: Thesis
Language:English
Published: 2010
Subjects:
TK Electrical engineering. Electronics. Nuclear engineering
Online Access:https://ir.uitm.edu.my/id/eprint/84695/1/84695.pdf
https://ir.uitm.edu.my/id/eprint/84695/
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spelling my.uitm.ir.846952024-04-23T02:31:42Z https://ir.uitm.edu.my/id/eprint/84695/ Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman Kamazahruman, Haryanti TK Electrical engineering. Electronics. Nuclear engineering This paper presents application of particle swarm optimization (PSO) technique for assessment of Dynamic Economic Dispatch (DED). Using this method, the best minimum of total generation cost can be obtained. DED is used to determine the optimal schedule of on-line generating output so as to meet the load demand at minimum operating cost under various systems and operating cost over the entire dispatch periods. PSO can solve the problems quickly with high quality solutions and stable convergence characteristics, whereas it is easily implemented evolutionary computation techniques. The DED based PSO techniques is a tested on a 26-bus system containing six generator bus, 20 load bus, and 46 transmission lines. 2010 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84695/1/84695.pdf Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman. (2010) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic TK Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK Electrical engineering. Electronics. Nuclear engineering
Kamazahruman, Haryanti
Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman
description This paper presents application of particle swarm optimization (PSO) technique for assessment of Dynamic Economic Dispatch (DED). Using this method, the best minimum of total generation cost can be obtained. DED is used to determine the optimal schedule of on-line generating output so as to meet the load demand at minimum operating cost under various systems and operating cost over the entire dispatch periods. PSO can solve the problems quickly with high quality solutions and stable convergence characteristics, whereas it is easily implemented evolutionary computation techniques. The DED based PSO techniques is a tested on a 26-bus system containing six generator bus, 20 load bus, and 46 transmission lines.
format Thesis
author Kamazahruman, Haryanti
author_facet Kamazahruman, Haryanti
author_sort Kamazahruman, Haryanti
title Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman
title_short Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman
title_full Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman
title_fullStr Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman
title_full_unstemmed Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman
title_sort particle swarm optimization technique (pso) for dynamic economic dispatch (ded) / haryanti kamazahruman
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/84695/1/84695.pdf
https://ir.uitm.edu.my/id/eprint/84695/
_version_ 1797924734303731712
score 13.211869

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