Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim

Economic dispatch is the method of determining the most efficient, low-cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. The primary objective of economic dispatch is to minimize the total cost of generation...

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Main Author:	Che Hashim, Muhammad Shukri
Format:	Thesis
Language:	English
Published:	2009
Subjects:	Production of electric energy or power Powerplants Central stations
Online Access:	https://ir.uitm.edu.my/id/eprint/67321/2/67321.pdf
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id	my-uitm-ir.67321
record_format	uketd_dc
spelling	my-uitm-ir.673212023-02-03T15:36:59Z Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim 2009 Che Hashim, Muhammad Shukri Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission Economic dispatch is the method of determining the most efficient, low-cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. The primary objective of economic dispatch is to minimize the total cost of generation while honoring the operational constraints of the available generation resources. Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The variants of the problems are numerous which model the objective and the constraints in different ways. The basic economic dispatch problem can described mathematically as minimization of the total fuel cost of all committed plants subject to the constraints. In order to achieve the economic dispatch (ED) objective, an optimization technique will be required to find the optimal combinational power generator output of the system. In this study, an optimization technique called Ant Colony Optimization (ACO) had been applied in solving ED problem. An economic dispatch problem, consisting of six generating units is applied to compare the performance of the proposed method with those of genetic algorithm (GA) and simulated annealing (SA). ACO algorithm used in this study was implemented by using MATLAB 7.6.0 (R2008a). The experimental results show that the fuel cost obtained by the ACO is slightly lower than those of the GA and SA methods. 2009 Thesis https://ir.uitm.edu.my/id/eprint/67321/ https://ir.uitm.edu.my/id/eprint/67321/2/67321.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 Che Hashim, Muhammad Shukri Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim
description	Economic dispatch is the method of determining the most efficient, low-cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. The primary objective of economic dispatch is to minimize the total cost of generation while honoring the operational constraints of the available generation resources. Economic load dispatch problem is allocating loads to plants for minimum cost while meeting the constraints. It is formulated as an optimization problem of minimizing the total fuel cost of all committed plant while meeting the demand and losses .The variants of the problems are numerous which model the objective and the constraints in different ways. The basic economic dispatch problem can described mathematically as minimization of the total fuel cost of all committed plants subject to the constraints. In order to achieve the economic dispatch (ED) objective, an optimization technique will be required to find the optimal combinational power generator output of the system. In this study, an optimization technique called Ant Colony Optimization (ACO) had been applied in solving ED problem. An economic dispatch problem, consisting of six generating units is applied to compare the performance of the proposed method with those of genetic algorithm (GA) and simulated annealing (SA). ACO algorithm used in this study was implemented by using MATLAB 7.6.0 (R2008a). The experimental results show that the fuel cost obtained by the ACO is slightly lower than those of the GA and SA methods.
format	Thesis
qualification_level	Bachelor degree
author	Che Hashim, Muhammad Shukri
author_facet	Che Hashim, Muhammad Shukri
author_sort	Che Hashim, Muhammad Shukri
title	Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim
title_short	Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim
title_full	Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim
title_fullStr	Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim
title_full_unstemmed	Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim
title_sort	ant colony optimization for solving economic dispatch of power system / muhammad shukri che hashim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	https://ir.uitm.edu.my/id/eprint/67321/2/67321.pdf
_version_	1783735680982056960

Ant colony optimization for solving economic dispatch of power system / Muhammad Shukri Che Hashim

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