An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin
This study presents the solution to non-smooth Economic Dispatch (ED) problem in power system considering the valve-point loading by using an improved technique of Particle Swarm Optimization (PSO). This method has been improvised by using Gaussian Mutation (GM) operator in order to improve the capa...
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2017
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my.uitm.ir.672622023-01-10T01:48:51Z https://ir.uitm.edu.my/id/eprint/67262/ An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin Jaladudin, Zulfadli Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This study presents the solution to non-smooth Economic Dispatch (ED) problem in power system considering the valve-point loading by using an improved technique of Particle Swarm Optimization (PSO). This method has been improvised by using Gaussian Mutation (GM) operator in order to improve the capability of basic PSO. The proposed technique was used on case study consisting of 3 and 13 generation units. The results obtained by the proposed method were compared with basic PSO. 2017 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/67262/2/67262.pdf An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin. (2017) Degree thesis, thesis, Universiti Teknologi MARA (UiTM). |
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Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission Jaladudin, Zulfadli An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin |
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This study presents the solution to non-smooth Economic Dispatch (ED) problem in power system considering the valve-point loading by using an improved technique of Particle Swarm Optimization (PSO). This method has been improvised by using Gaussian Mutation (GM) operator in order to improve the capability of basic PSO. The proposed technique was used on case study consisting of 3 and 13 generation units. The results obtained by the proposed method were compared with basic PSO. |
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Thesis |
author |
Jaladudin, Zulfadli |
author_facet |
Jaladudin, Zulfadli |
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Jaladudin, Zulfadli |
title |
An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin |
title_short |
An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin |
title_full |
An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin |
title_fullStr |
An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin |
title_full_unstemmed |
An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin |
title_sort |
improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / zulfadli jaladudin |
publishDate |
2017 |
url |
https://ir.uitm.edu.my/id/eprint/67262/2/67262.pdf https://ir.uitm.edu.my/id/eprint/67262/ |
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1755876024316329984 |
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13.18916 |