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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Bibliographic Details
Main Author:	Jaladudin, Zulfadli
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Production of electric energy or power Powerplants Central stations
Online Access:	https://ir.uitm.edu.my/id/eprint/67262/2/67262.pdf
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id	my-uitm-ir.67262
record_format	uketd_dc
spelling	my-uitm-ir.672622023-01-10T01:48:51Z An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin 2017 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 https://ir.uitm.edu.my/id/eprint/67262/ https://ir.uitm.edu.my/id/eprint/67262/2/67262.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sheikh Rahimullah, Bibi Norasiqin
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Sheikh Rahimullah, Bibi Norasiqin
topic	Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations
spellingShingle	Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations 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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/67262/2/67262.pdf
_version_	1783735672653217792

An improved particle swarm optimization to solve non-smooth economic dispatch problems in power system / Zulfadli Jaladudin

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