Bees algorithm technique for solving economic dispatch / Shahrizan Jabar

This paper presents an application of Bee Algorithm (BA) for solving Economic Dispatch (ED) problem in 6-units and 15-units system. In order to run the BA operation, there are several factors that under consideration such as complete ED problem formulation prohibited operating zones and cost fuel. B...

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Main Author:	Jabar, Shahrizan
Format:	Thesis
Language:	English
Published:	2012
Online Access:	https://ir.uitm.edu.my/id/eprint/84490/1/84490.pdf
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id	my-uitm-ir.84490
record_format	uketd_dc
spelling	my-uitm-ir.844902024-02-19T04:00:39Z Bees algorithm technique for solving economic dispatch / Shahrizan Jabar 2012 Jabar, Shahrizan This paper presents an application of Bee Algorithm (BA) for solving Economic Dispatch (ED) problem in 6-units and 15-units system. In order to run the BA operation, there are several factors that under consideration such as complete ED problem formulation prohibited operating zones and cost fuel. BA is applied to solve Economic Dispatch (ED) problem to show the efficiency by comparing to those achieved from conventional approaches such as simulated annealing (SA) and Particle Swarm Optimization (PSO). As expected, BA operation more efficiency in terms of lowest fuel cost of generation and faster computational time rather than the conventional approaches. 2012 Thesis https://ir.uitm.edu.my/id/eprint/84490/ https://ir.uitm.edu.my/id/eprint/84490/1/84490.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Othman, Zulkifli
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Othman, Zulkifli
description	This paper presents an application of Bee Algorithm (BA) for solving Economic Dispatch (ED) problem in 6-units and 15-units system. In order to run the BA operation, there are several factors that under consideration such as complete ED problem formulation prohibited operating zones and cost fuel. BA is applied to solve Economic Dispatch (ED) problem to show the efficiency by comparing to those achieved from conventional approaches such as simulated annealing (SA) and Particle Swarm Optimization (PSO). As expected, BA operation more efficiency in terms of lowest fuel cost of generation and faster computational time rather than the conventional approaches.
format	Thesis
qualification_level	Bachelor degree
author	Jabar, Shahrizan
spellingShingle	Jabar, Shahrizan Bees algorithm technique for solving economic dispatch / Shahrizan Jabar
author_facet	Jabar, Shahrizan
author_sort	Jabar, Shahrizan
title	Bees algorithm technique for solving economic dispatch / Shahrizan Jabar
title_short	Bees algorithm technique for solving economic dispatch / Shahrizan Jabar
title_full	Bees algorithm technique for solving economic dispatch / Shahrizan Jabar
title_fullStr	Bees algorithm technique for solving economic dispatch / Shahrizan Jabar
title_full_unstemmed	Bees algorithm technique for solving economic dispatch / Shahrizan Jabar
title_sort	bees algorithm technique for solving economic dispatch / shahrizan jabar
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2012
url	https://ir.uitm.edu.my/id/eprint/84490/1/84490.pdf
_version_	1794192007759921152

Bees algorithm technique for solving economic dispatch / Shahrizan Jabar

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