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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Main Author: Jaladudin, Zulfadli
Format: Thesis
Language:English
Published: 2017
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/67262/2/67262.pdf
https://ir.uitm.edu.my/id/eprint/67262/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.67262
record_format eprints
spelling 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).
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 Production of electric energy or power. Powerplants. Central stations
Electric power distribution. Electric power transmission
spellingShingle 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
description 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.
format Thesis
author Jaladudin, Zulfadli
author_facet Jaladudin, Zulfadli
author_sort 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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