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Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique: article / 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: Article
Language:English
Published: 2013
Online Access:https://ir.uitm.edu.my/id/eprint/105566/1/105566.pdf
https://ir.uitm.edu.my/id/eprint/105566/
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spelling my.uitm.ir.1055662024-11-30T23:20:28Z https://ir.uitm.edu.my/id/eprint/105566/ Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique: article / Mohd Ikhwan Mahasan 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 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/105566/1/105566.pdf Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique: article / Mohd Ikhwan Mahasan. (2013) pp. 1-9.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
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 Article
author Mahasan, Mohd Ikhwan
spellingShingle Mahasan, Mohd Ikhwan
Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique: article / 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: article / Mohd Ikhwan Mahasan
title_short Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique: article / Mohd Ikhwan Mahasan
title_full Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique: article / Mohd Ikhwan Mahasan
title_fullStr Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique: article / Mohd Ikhwan Mahasan
title_full_unstemmed Solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique: article / Mohd Ikhwan Mahasan
title_sort solving unit commitment problem with wind power energy using multi agent evolutionary programming optimization technique: article / mohd ikhwan mahasan
publishDate 2013
url https://ir.uitm.edu.my/id/eprint/105566/1/105566.pdf
https://ir.uitm.edu.my/id/eprint/105566/
_version_ 1817847319591124992
score 13.223943

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