Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / Mohd Ikhwan Mahasan

This thesis presents an approach to search for an optimal solution for Unit Commitment Problem with wind power generation. The objectives of this research are to find the optimal cost of generation and to review the effect of the presence of renewable energy which is the wind energy in the conventio...

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Main Author:	Mahasan, Mohd Ikhwan
Format:	Thesis
Language:	English
Published:	2013
Online Access:	https://ir.uitm.edu.my/id/eprint/85300/1/85300.pdf
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id	my-uitm-ir.85300
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spelling	my-uitm-ir.853002024-02-14T02:28:40Z Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / Mohd Ikhwan Mahasan 2013 Mahasan, Mohd Ikhwan This thesis presents an approach to search for an optimal solution for Unit Commitment Problem with wind power generation. The objectives of this research are to find the optimal cost of generation and to review the effect of the presence of renewable energy which is the wind energy in the conventional Unit Commitment problem. Unit commitment involves the scheduling of start-up and shutdown of generating units, an indirect determines the optimum power should be generated by each unit committed over a period of time to meet the required load demand at minimum possible cost. In this study, Multi Agent Evolutionary Programming has been used to solve the optimal unit commitment for 24 hour periods. Multi Agent Evolutionary Programming is a combination of two Artificial Intelligent techniques which are Multi Agent System and Evolutionary Programming. 2013 Thesis https://ir.uitm.edu.my/id/eprint/85300/ https://ir.uitm.edu.my/id/eprint/85300/1/85300.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Che Othman, Muhammad Nazree
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Che Othman, Muhammad Nazree
description	This thesis presents an approach to search for an optimal solution for Unit Commitment Problem with wind power generation. The objectives of this research are to find the optimal cost of generation and to review the effect of the presence of renewable energy which is the wind energy in the conventional Unit Commitment problem. Unit commitment involves the scheduling of start-up and shutdown of generating units, an indirect determines the optimum power should be generated by each unit committed over a period of time to meet the required load demand at minimum possible cost. In this study, Multi Agent Evolutionary Programming has been used to solve the optimal unit commitment for 24 hour periods. Multi Agent Evolutionary Programming is a combination of two Artificial Intelligent techniques which are Multi Agent System and Evolutionary Programming.
format	Thesis
qualification_level	Bachelor degree
author	Mahasan, Mohd Ikhwan
spellingShingle	Mahasan, Mohd Ikhwan Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / Mohd Ikhwan Mahasan
author_facet	Mahasan, Mohd Ikhwan
author_sort	Mahasan, Mohd Ikhwan
title	Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / Mohd Ikhwan Mahasan
title_short	Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / Mohd Ikhwan Mahasan
title_full	Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / Mohd Ikhwan Mahasan
title_fullStr	Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / Mohd Ikhwan Mahasan
title_full_unstemmed	Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / Mohd Ikhwan Mahasan
title_sort	solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / mohd ikhwan mahasan
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/85300/1/85300.pdf
_version_	1794192086090645504

Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique / Mohd Ikhwan Mahasan

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