Economic power dispatch of power system with pollution control using ant colony optimization / Ahmad Mat Saad

The problem of economic dispatch has been forwarded and solved by numerous methods such as dynamic programming, tabu search, simulated annealing and genetic algorithm (GA).In this project, Ant Colony Optimization (ACO) is used to solve the problem of economic dispatch with pollution control. The obj...

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Main Author: Mat Saad, Ahmad
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/67323/2/67323.pdf
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spelling my-uitm-ir.673232023-02-03T15:37:03Z Economic power dispatch of power system with pollution control using ant colony optimization / Ahmad Mat Saad 2010 Mat Saad, Ahmad Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission The problem of economic dispatch has been forwarded and solved by numerous methods such as dynamic programming, tabu search, simulated annealing and genetic algorithm (GA).In this project, Ant Colony Optimization (ACO) is used to solve the problem of economic dispatch with pollution control. The objective is to minimize the total fuel cost of generation and environmental pollution. ACO offer a new powerful approach to these optimization problems made possible by the increasing availability of high performance computers at relatively low costs. CPU times can be reduced by decomposing the optimization constraints of the power system to active constraints manipulated directly by ACO and passive constraints maintained in their soft limits using a conventional constraint load flow. Simulation results on the IEEE 30-bus system show that by using this method, the solution to economic dispatch problem can be obtained. 2010 Thesis https://ir.uitm.edu.my/id/eprint/67323/ https://ir.uitm.edu.my/id/eprint/67323/2/67323.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
Mat Saad, Ahmad
Economic power dispatch of power system with pollution control using ant colony optimization / Ahmad Mat Saad
description The problem of economic dispatch has been forwarded and solved by numerous methods such as dynamic programming, tabu search, simulated annealing and genetic algorithm (GA).In this project, Ant Colony Optimization (ACO) is used to solve the problem of economic dispatch with pollution control. The objective is to minimize the total fuel cost of generation and environmental pollution. ACO offer a new powerful approach to these optimization problems made possible by the increasing availability of high performance computers at relatively low costs. CPU times can be reduced by decomposing the optimization constraints of the power system to active constraints manipulated directly by ACO and passive constraints maintained in their soft limits using a conventional constraint load flow. Simulation results on the IEEE 30-bus system show that by using this method, the solution to economic dispatch problem can be obtained.
format Thesis
qualification_level Bachelor degree
author Mat Saad, Ahmad
author_facet Mat Saad, Ahmad
author_sort Mat Saad, Ahmad
title Economic power dispatch of power system with pollution control using ant colony optimization / Ahmad Mat Saad
title_short Economic power dispatch of power system with pollution control using ant colony optimization / Ahmad Mat Saad
title_full Economic power dispatch of power system with pollution control using ant colony optimization / Ahmad Mat Saad
title_fullStr Economic power dispatch of power system with pollution control using ant colony optimization / Ahmad Mat Saad
title_full_unstemmed Economic power dispatch of power system with pollution control using ant colony optimization / Ahmad Mat Saad
title_sort economic power dispatch of power system with pollution control using ant colony optimization / ahmad mat saad
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/67323/2/67323.pdf
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