Grey wolf optimizer for solving emission economic dispatch problem / Najlaa Syakirah Rahmat

The electricity distribution system is interconnected in order to accomplish the benefits of minimal production costs, maximum reliability and better opportunities. Solving economic dispatch is extremely crucial in operation of power system. The problem will become a lot of complicated and complex i...

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Main Author:	Rahmat, Najlaa Syakirah
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Production of electricity by direct energy conversion
Online Access:	https://ir.uitm.edu.my/id/eprint/67075/2/67075.pdf
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id	my-uitm-ir.67075
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spelling	my-uitm-ir.670752023-01-05T03:42:53Z Grey wolf optimizer for solving emission economic dispatch problem / Najlaa Syakirah Rahmat 2019 Rahmat, Najlaa Syakirah Production of electricity by direct energy conversion Electric power distribution. Electric power transmission The electricity distribution system is interconnected in order to accomplish the benefits of minimal production costs, maximum reliability and better opportunities. Solving economic dispatch is extremely crucial in operation of power system. The problem will become a lot of complicated and complex if big number of generators is involved and when is emission is considered. In recent years, an increase in air pollution and the concentration of carbon dioxide emissions from power stations has led to global warming. A reliable method that maintain electricity at the cheapest price with minimal air pollution is required. The economic emission problem is aimed at minimizing the total fuel costs of power generation while meeting the constraints and also minimizing the released emission. This final year project report presents the development of a new meta-heuristic called Grey Wolf Optimizer (GWO) to solve the problem of combined economic and emission dispatch. In this study, Grey Wolf Optimizer (GWO) is developed a better solution for combined economic and emission dispatch (CEED). The constraints such as total losses, emission and power balance are imposed in optimizing the solution for CEED problem in order to achieve lowest possible generation costs and emission released. In this study, the proposed method is tested on a 3- generation units and 10-generation unit systems, and the result shows that this method is able to solve the problem with minimum cost are developed using MATLAB software. 2019 Thesis https://ir.uitm.edu.my/id/eprint/67075/ https://ir.uitm.edu.my/id/eprint/67075/2/67075.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 electricity by direct energy conversion Production of electricity by direct energy conversion
spellingShingle	Production of electricity by direct energy conversion Production of electricity by direct energy conversion Rahmat, Najlaa Syakirah Grey wolf optimizer for solving emission economic dispatch problem / Najlaa Syakirah Rahmat
description	The electricity distribution system is interconnected in order to accomplish the benefits of minimal production costs, maximum reliability and better opportunities. Solving economic dispatch is extremely crucial in operation of power system. The problem will become a lot of complicated and complex if big number of generators is involved and when is emission is considered. In recent years, an increase in air pollution and the concentration of carbon dioxide emissions from power stations has led to global warming. A reliable method that maintain electricity at the cheapest price with minimal air pollution is required. The economic emission problem is aimed at minimizing the total fuel costs of power generation while meeting the constraints and also minimizing the released emission. This final year project report presents the development of a new meta-heuristic called Grey Wolf Optimizer (GWO) to solve the problem of combined economic and emission dispatch. In this study, Grey Wolf Optimizer (GWO) is developed a better solution for combined economic and emission dispatch (CEED). The constraints such as total losses, emission and power balance are imposed in optimizing the solution for CEED problem in order to achieve lowest possible generation costs and emission released. In this study, the proposed method is tested on a 3- generation units and 10-generation unit systems, and the result shows that this method is able to solve the problem with minimum cost are developed using MATLAB software.
format	Thesis
qualification_level	Bachelor degree
author	Rahmat, Najlaa Syakirah
author_facet	Rahmat, Najlaa Syakirah
author_sort	Rahmat, Najlaa Syakirah
title	Grey wolf optimizer for solving emission economic dispatch problem / Najlaa Syakirah Rahmat
title_short	Grey wolf optimizer for solving emission economic dispatch problem / Najlaa Syakirah Rahmat
title_full	Grey wolf optimizer for solving emission economic dispatch problem / Najlaa Syakirah Rahmat
title_fullStr	Grey wolf optimizer for solving emission economic dispatch problem / Najlaa Syakirah Rahmat
title_full_unstemmed	Grey wolf optimizer for solving emission economic dispatch problem / Najlaa Syakirah Rahmat
title_sort	grey wolf optimizer for solving emission economic dispatch problem / najlaa syakirah rahmat
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/67075/2/67075.pdf
_version_	1783735656924577792

Grey wolf optimizer for solving emission economic dispatch problem / Najlaa Syakirah Rahmat

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