Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali

This thesis presents the solution algorithm based on the particle swarm optimization (PSO) for solving the pumped-storage (P/S) scheduling problem. The basic PSO algorithms_is been used to determine the economic dispatch of the hydrothermal generation with pumped-storage unit. This is because partic...

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Main Author:	Razali, Amirul Asraf
Format:	Thesis
Language:	English
Published:	2012
Subjects:	Production of electric energy or power Powerplants Central stations
Online Access:	https://ir.uitm.edu.my/id/eprint/67090/2/67090.pdf
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id	my-uitm-ir.67090
record_format	uketd_dc
spelling	my-uitm-ir.670902023-01-05T04:08:13Z Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali 2012 Razali, Amirul Asraf Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This thesis presents the solution algorithm based on the particle swarm optimization (PSO) for solving the pumped-storage (P/S) scheduling problem. The basic PSO algorithms_is been used to determine the economic dispatch of the hydrothermal generation with pumped-storage unit. This is because particle swarm optimization (PSO) algorithm is developed to give the economical cost for the hydrothermal generation with pumped-storage unit to fulfill the constraint of thermal and hydro unit. The hydrothermal generation with pumped-storage unit is consisting of 40 thermal units and four pumped storage units. The algorithm is been develop using Matlab software to test on comprising between hydrothermal generation with pumped-storage unit and hydrothermal generation without pumped-storage unit. Results obtained indicate the attractive properties of the hydrothermal generation with pumped-storage are better than hydrothermal generation without pumped-storage. 2012 Thesis https://ir.uitm.edu.my/id/eprint/67090/ https://ir.uitm.edu.my/id/eprint/67090/2/67090.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 Razali, Amirul Asraf Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali
description	This thesis presents the solution algorithm based on the particle swarm optimization (PSO) for solving the pumped-storage (P/S) scheduling problem. The basic PSO algorithms_is been used to determine the economic dispatch of the hydrothermal generation with pumped-storage unit. This is because particle swarm optimization (PSO) algorithm is developed to give the economical cost for the hydrothermal generation with pumped-storage unit to fulfill the constraint of thermal and hydro unit. The hydrothermal generation with pumped-storage unit is consisting of 40 thermal units and four pumped storage units. The algorithm is been develop using Matlab software to test on comprising between hydrothermal generation with pumped-storage unit and hydrothermal generation without pumped-storage unit. Results obtained indicate the attractive properties of the hydrothermal generation with pumped-storage are better than hydrothermal generation without pumped-storage.
format	Thesis
qualification_level	Bachelor degree
author	Razali, Amirul Asraf
author_facet	Razali, Amirul Asraf
author_sort	Razali, Amirul Asraf
title	Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali
title_short	Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali
title_full	Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali
title_fullStr	Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali
title_full_unstemmed	Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali
title_sort	pumped-storage scheduling using particle swarm optimization / amirul asraf razali
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/67090/2/67090.pdf
_version_	1783735659968593920

Pumped-storage scheduling using particle swarm optimization / Amirul Asraf Razali

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