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...

Full description

Saved in:

Bibliographic Details
Main Author:	Salleh, Putri Azimah
Format:	Thesis
Language:	English
Published:	2014
Online Access:	https://ir.uitm.edu.my/id/eprint/84802/1/84802.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.84802
record_format	uketd_dc
spelling	my-uitm-ir.848022024-01-12T09:16:16Z Solving unit commitment problem with solar photovoltaic and wind energy generation by using multi-agent evolutionary programming technique / Putri Azimah Salleh 2014 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 https://ir.uitm.edu.my/id/eprint/84802/ https://ir.uitm.edu.my/id/eprint/84802/1/84802.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	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
qualification_level	Bachelor degree
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
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/84802/1/84802.pdf
_version_	1794192052595982336

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

Similar Items