Optimization of PV size for off-grid connected PV system considering uncertainties using differential evolution algorithm

Increase in global energy demand has made renewable energy systems more attractive. In the past decade the utilization of PV systems has tremendously increased due to global warming phenomena and the rapid depletion of fossil fuel reserve. However, the intermittency and inconsistency of energy suppl...

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Main Author:	Naji, Saif Aldeen Muqdad
Format:	Thesis
Language:	English
Published:	2020
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/93017/1/SaifAldeenMuqdadMSKE2020.pdf
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id	my-utm-ep.93017
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spelling	my-utm-ep.930172021-11-07T06:00:28Z Optimization of PV size for off-grid connected PV system considering uncertainties using differential evolution algorithm 2020 Naji, Saif Aldeen Muqdad TK Electrical engineering. Electronics Nuclear engineering Increase in global energy demand has made renewable energy systems more attractive. In the past decade the utilization of PV systems has tremendously increased due to global warming phenomena and the rapid depletion of fossil fuel reserve. However, the intermittency and inconsistency of energy supply are some of the main drawback associated associate with the PV technologies. The hybridization of PV system with battery storage system improves the reliability and efficiency of the PV supply. In the past decade, standalone PV system become one of the systems that has been widely used. In this dissertation, the optimization of the PV system with battery storage is performed. The objective is to optimize PV system with battery, considering temperature and solar irradiance in order to maximize the output. The proposed system is designed to supply the energy demand of Al-Mamoon University College. This project considers yearly temperature and solar irradiance. The sizing optimization is performed using differential evolution (DE). Two key criteria are considered during the optimization process i.e., reliability and price of electricity. The proposed methodology is implemented using MATLAB software. The proposed approach based on (DE) is compared with particle swarm optimization technique in terms of fast convergence, accuracy. 2020 Thesis http://eprints.utm.my/id/eprint/93017/ http://eprints.utm.my/id/eprint/93017/1/SaifAldeenMuqdadMSKE2020.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:135931 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Naji, Saif Aldeen Muqdad Optimization of PV size for off-grid connected PV system considering uncertainties using differential evolution algorithm
description	Increase in global energy demand has made renewable energy systems more attractive. In the past decade the utilization of PV systems has tremendously increased due to global warming phenomena and the rapid depletion of fossil fuel reserve. However, the intermittency and inconsistency of energy supply are some of the main drawback associated associate with the PV technologies. The hybridization of PV system with battery storage system improves the reliability and efficiency of the PV supply. In the past decade, standalone PV system become one of the systems that has been widely used. In this dissertation, the optimization of the PV system with battery storage is performed. The objective is to optimize PV system with battery, considering temperature and solar irradiance in order to maximize the output. The proposed system is designed to supply the energy demand of Al-Mamoon University College. This project considers yearly temperature and solar irradiance. The sizing optimization is performed using differential evolution (DE). Two key criteria are considered during the optimization process i.e., reliability and price of electricity. The proposed methodology is implemented using MATLAB software. The proposed approach based on (DE) is compared with particle swarm optimization technique in terms of fast convergence, accuracy.
format	Thesis
qualification_level	Master's degree
author	Naji, Saif Aldeen Muqdad
author_facet	Naji, Saif Aldeen Muqdad
author_sort	Naji, Saif Aldeen Muqdad
title	Optimization of PV size for off-grid connected PV system considering uncertainties using differential evolution algorithm
title_short	Optimization of PV size for off-grid connected PV system considering uncertainties using differential evolution algorithm
title_full	Optimization of PV size for off-grid connected PV system considering uncertainties using differential evolution algorithm
title_fullStr	Optimization of PV size for off-grid connected PV system considering uncertainties using differential evolution algorithm
title_full_unstemmed	Optimization of PV size for off-grid connected PV system considering uncertainties using differential evolution algorithm
title_sort	optimization of pv size for off-grid connected pv system considering uncertainties using differential evolution algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2020
url	http://eprints.utm.my/id/eprint/93017/1/SaifAldeenMuqdadMSKE2020.pdf
_version_	1747818627728408576

Optimization of PV size for off-grid connected PV system considering uncertainties using differential evolution algorithm

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