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

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
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spelling my-uitm-ir.846952024-04-23T02:31:42Z Particle swarm optimization technique (PSO) for dynamic economic dispatch (DED) / Haryanti Kamazahruman 2010 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 https://ir.uitm.edu.my/id/eprint/84695/ https://ir.uitm.edu.my/id/eprint/84695/1/84695.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Nik Ismail, Nik Fasdi
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Nik Ismail, Nik Fasdi
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
qualification_level Bachelor degree
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
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/84695/1/84695.pdf
_version_ 1804889733619253248

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