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Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh

The goal through this paper is to solve unit commitment problem in power system with solar and wind energy generation. This approach objective to find optimal solution using Multi Agent Evolutionary Programming technique to minimize cost when implementing renewable energy and review the effect of so...

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Main Author: Salleh, Putri Azimah
Format: Thesis
Language:English
Published: 2014
Online Access:https://ir.uitm.edu.my/id/eprint/84802/1/84802.pdf
https://ir.uitm.edu.my/id/eprint/84802/
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spelling my.uitm.ir.848022024-01-12T09:16:16Z https://ir.uitm.edu.my/id/eprint/84802/ Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh Salleh, Putri Azimah The goal through this paper is to solve unit commitment problem in power system with solar and wind energy generation. This approach objective to find optimal solution using Multi Agent Evolutionary Programming technique to minimize cost when implementing renewable energy and review the effect of solar and wind energy to unit commitment. The conventional unit commitment consists of schedule of start-up cost and shut-down generating unit that meet the demand of power generation. Several Artificial Intelligence (AI) techniques such as Multi Agent and Evolutionary Programming were combine to produce Multi Agent Evolutionary Programming (MAEP) technique. There are 10 generator units with 24 hours periods and a few constraints considered in this study such as generator limit, load demand, spinning reserve margin and hot start-up cost. The combination MAEP algorithm includes mutation process, combination and selection the least cost. It is expected that by implementing MAEP with solar and wind, the cost of operation is optimized rather than without renewable energy conventional Evolutionary Programming technique. 2014 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/84802/1/84802.pdf Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh. (2014) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
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 The goal through this paper is to solve unit commitment problem in power system with solar and wind energy generation. This approach objective to find optimal solution using Multi Agent Evolutionary Programming technique to minimize cost when implementing renewable energy and review the effect of solar and wind energy to unit commitment. The conventional unit commitment consists of schedule of start-up cost and shut-down generating unit that meet the demand of power generation. Several Artificial Intelligence (AI) techniques such as Multi Agent and Evolutionary Programming were combine to produce Multi Agent Evolutionary Programming (MAEP) technique. There are 10 generator units with 24 hours periods and a few constraints considered in this study such as generator limit, load demand, spinning reserve margin and hot start-up cost. The combination MAEP algorithm includes mutation process, combination and selection the least cost. It is expected that by implementing MAEP with solar and wind, the cost of operation is optimized rather than without renewable energy conventional Evolutionary Programming technique.
format Thesis
author Salleh, Putri Azimah
spellingShingle Salleh, Putri Azimah
Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh
author_facet Salleh, Putri Azimah
author_sort Salleh, Putri Azimah
title Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh
title_short Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh
title_full Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh
title_fullStr Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh
title_full_unstemmed Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh
title_sort solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / putri azimah salleh
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/84802/1/84802.pdf
https://ir.uitm.edu.my/id/eprint/84802/
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score 13.211869

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