Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria

Working toward photovoltaic energy source have attracted the attention of scientists’ recent time due it renewability. However, it come with several challenges especially getting accurate design such accurate photovoltaic size. To increase the efficiency and dependability of an off-grid PV system, p...

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Main Author:	Moruma, Muhammad Lawan
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/99541/1/MuhammadLawanMorumaMSKE2022.pdf
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id	my-utm-ep.99541
record_format	uketd_dc
spelling	my-utm-ep.995412023-02-28T07:46:31Z Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria 2022 Moruma, Muhammad Lawan TK Electrical engineering. Electronics Nuclear engineering Working toward photovoltaic energy source have attracted the attention of scientists’ recent time due it renewability. However, it come with several challenges especially getting accurate design such accurate photovoltaic size. To increase the efficiency and dependability of an off-grid PV system, precise sizing of the photovoltaic (PV) cell and battery storage parameters is a vital requirement. This project is intended to Gubio Village in northern Nigeria where the model configuration of wind, photovoltaic and diesel stand-alone system is proposed. This project's major objective is to size and manage by figuring out the ideal amount of PV modules, battery sizes, and bank needed for the case study. The proposed systems were put to the test using MATLAB simulations run under ideal test conditions to pinpoint changes in irradiance pattern and other system uncertainties in advance. For PV, Battery, Wind Turbine, and Diesel, the outline of various search ranges defined and their objective function are also described. In this study, GA, PSO, and DE algorithms were contrasted to determine the best size for an off-grid PV, wind turbine, and diesel system taking Gubio Village into consideration. The optimization result shows that PSO offered the best optimal solution in terms of cost and convergence time where it shows lowest LPSP and highest LCOE 0.012, 0.3564 respectively. For the purpose of this project, PSO algorithm is more efficient as compared to DE and GA. PSO algorithm and requires less computational time and memory for implementation as it converges faster. Thus, the project successfully accomplished all it objectives by designing electrical power generation of hybrid pv/wind/diesel battery system for Gubio village of Nigeria Gubio local government, Borno state, Nigeria. 2022 Thesis http://eprints.utm.my/id/eprint/99541/ http://eprints.utm.my/id/eprint/99541/1/MuhammadLawanMorumaMSKE2022.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149952 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 Moruma, Muhammad Lawan Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria
description	Working toward photovoltaic energy source have attracted the attention of scientists’ recent time due it renewability. However, it come with several challenges especially getting accurate design such accurate photovoltaic size. To increase the efficiency and dependability of an off-grid PV system, precise sizing of the photovoltaic (PV) cell and battery storage parameters is a vital requirement. This project is intended to Gubio Village in northern Nigeria where the model configuration of wind, photovoltaic and diesel stand-alone system is proposed. This project's major objective is to size and manage by figuring out the ideal amount of PV modules, battery sizes, and bank needed for the case study. The proposed systems were put to the test using MATLAB simulations run under ideal test conditions to pinpoint changes in irradiance pattern and other system uncertainties in advance. For PV, Battery, Wind Turbine, and Diesel, the outline of various search ranges defined and their objective function are also described. In this study, GA, PSO, and DE algorithms were contrasted to determine the best size for an off-grid PV, wind turbine, and diesel system taking Gubio Village into consideration. The optimization result shows that PSO offered the best optimal solution in terms of cost and convergence time where it shows lowest LPSP and highest LCOE 0.012, 0.3564 respectively. For the purpose of this project, PSO algorithm is more efficient as compared to DE and GA. PSO algorithm and requires less computational time and memory for implementation as it converges faster. Thus, the project successfully accomplished all it objectives by designing electrical power generation of hybrid pv/wind/diesel battery system for Gubio village of Nigeria Gubio local government, Borno state, Nigeria.
format	Thesis
qualification_level	Master's degree
author	Moruma, Muhammad Lawan
author_facet	Moruma, Muhammad Lawan
author_sort	Moruma, Muhammad Lawan
title	Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria
title_short	Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria
title_full	Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria
title_fullStr	Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria
title_full_unstemmed	Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria
title_sort	electrical power generation of hybrid pv/wind/diesel battery system for gubio village of nigeria gubio local government, borno state, nigeria
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2022
url	http://eprints.utm.my/id/eprint/99541/1/MuhammadLawanMorumaMSKE2022.pdf
_version_	1776100615359823872

Electrical power generation of hybrid PV/Wind/Diesel battery system for Gubio Village of Nigeria Gubio Local Government, Borno State, Nigeria

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