Economic power dispatch of power system with pollution control using MATLAB optimization toolbox / Wan Muhammad Muzaffar Wan Azmi

This study presents a study on solving the economic power dispatch problem of power system using MATLAB Optimization Toolbox. The objective is to minimize the total fuel cost of generation and environmental pollution control levels caused by fossil based thermal generating units and also maintain an...

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Main Author: Wan Azmi, Wan Muhammad Muzaffar
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/67121/2/67121.pdf
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spelling my-uitm-ir.671212023-01-09T00:13:11Z Economic power dispatch of power system with pollution control using MATLAB optimization toolbox / Wan Muhammad Muzaffar Wan Azmi 2009 Wan Azmi, Wan Muhammad Muzaffar Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This study presents a study on solving the economic power dispatch problem of power system using MATLAB Optimization Toolbox. The objective is to minimize the total fuel cost of generation and environmental pollution control levels caused by fossil based thermal generating units and also maintain an acceptable system performance in terms of limits on generator real power outputs and system losses. The proposed approach has been evaluated on the test system contain of six generating units. The result obtained show that the purposed method can be used to solve economic power dispatch. 2009 Thesis https://ir.uitm.edu.my/id/eprint/67121/ https://ir.uitm.edu.my/id/eprint/67121/2/67121.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
Wan Azmi, Wan Muhammad Muzaffar
Economic power dispatch of power system with pollution control using MATLAB optimization toolbox / Wan Muhammad Muzaffar Wan Azmi
description This study presents a study on solving the economic power dispatch problem of power system using MATLAB Optimization Toolbox. The objective is to minimize the total fuel cost of generation and environmental pollution control levels caused by fossil based thermal generating units and also maintain an acceptable system performance in terms of limits on generator real power outputs and system losses. The proposed approach has been evaluated on the test system contain of six generating units. The result obtained show that the purposed method can be used to solve economic power dispatch.
format Thesis
qualification_level Bachelor degree
author Wan Azmi, Wan Muhammad Muzaffar
author_facet Wan Azmi, Wan Muhammad Muzaffar
author_sort Wan Azmi, Wan Muhammad Muzaffar
title Economic power dispatch of power system with pollution control using MATLAB optimization toolbox / Wan Muhammad Muzaffar Wan Azmi
title_short Economic power dispatch of power system with pollution control using MATLAB optimization toolbox / Wan Muhammad Muzaffar Wan Azmi
title_full Economic power dispatch of power system with pollution control using MATLAB optimization toolbox / Wan Muhammad Muzaffar Wan Azmi
title_fullStr Economic power dispatch of power system with pollution control using MATLAB optimization toolbox / Wan Muhammad Muzaffar Wan Azmi
title_full_unstemmed Economic power dispatch of power system with pollution control using MATLAB optimization toolbox / Wan Muhammad Muzaffar Wan Azmi
title_sort economic power dispatch of power system with pollution control using matlab optimization toolbox / wan muhammad muzaffar wan azmi
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2009
url https://ir.uitm.edu.my/id/eprint/67121/2/67121.pdf
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