Jellyfish Search Optimization Algorithm for MPP Tracking of PV System

Because of the rapid increase in the depletion rate of conventional energy sources, the energy crisis has become a central problem in the contemporary world. This issue opens the gateway for exploring and developing renewable energy sources to fulfill the exigent energy demand. Solar energy is an ab...

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Autores principales:	Afroz Alam, Preeti Verma, Mohd Tariq, Adil Sarwar, Basem Alamri, Noore Zahra, Shabana Urooj
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	jellyfish search optimization maximum power point tracking partial shading condition particle swarm optimization photovoltaic systems Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/7b972681552641348dda1b762a529c1d
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id	oai:doaj.org-article:7b972681552641348dda1b762a529c1d
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spelling	oai:doaj.org-article:7b972681552641348dda1b762a529c1d2021-11-11T19:27:28ZJellyfish Search Optimization Algorithm for MPP Tracking of PV System10.3390/su1321117362071-1050https://doaj.org/article/7b972681552641348dda1b762a529c1d2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11736https://doaj.org/toc/2071-1050Because of the rapid increase in the depletion rate of conventional energy sources, the energy crisis has become a central problem in the contemporary world. This issue opens the gateway for exploring and developing renewable energy sources to fulfill the exigent energy demand. Solar energy is an abundant source of sustainable energy and hence, nowadays, solar photovoltaic (PV) systems are employed to extract energy from solar irradiation. However, the PV systems need to work at the maximum power point (MPP) to exploit the highest accessible power during varying operating conditions. For this reason, maximum power point tracking (MPPT) algorithms are used to track the optimum power point. Furthermore, the efficient utilization of PV systems is hindered by renowned partial shading conditions (PSC), which generate multiple peaks in the power-voltage characteristic of the PV array. Thus, this article addresses the performance of the newly developed jellyfish search optimization (JSO) strategy in the PV frameworks to follow the global maximum power point (GMPP) under PSC.Afroz AlamPreeti VermaMohd TariqAdil SarwarBasem AlamriNoore ZahraShabana UroojMDPI AGarticlejellyfish search optimizationmaximum power point trackingpartial shading conditionparticle swarm optimizationphotovoltaic systemsEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11736, p 11736 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	jellyfish search optimization maximum power point tracking partial shading condition particle swarm optimization photovoltaic systems Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	jellyfish search optimization maximum power point tracking partial shading condition particle swarm optimization photovoltaic systems Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Afroz Alam Preeti Verma Mohd Tariq Adil Sarwar Basem Alamri Noore Zahra Shabana Urooj Jellyfish Search Optimization Algorithm for MPP Tracking of PV System
description	Because of the rapid increase in the depletion rate of conventional energy sources, the energy crisis has become a central problem in the contemporary world. This issue opens the gateway for exploring and developing renewable energy sources to fulfill the exigent energy demand. Solar energy is an abundant source of sustainable energy and hence, nowadays, solar photovoltaic (PV) systems are employed to extract energy from solar irradiation. However, the PV systems need to work at the maximum power point (MPP) to exploit the highest accessible power during varying operating conditions. For this reason, maximum power point tracking (MPPT) algorithms are used to track the optimum power point. Furthermore, the efficient utilization of PV systems is hindered by renowned partial shading conditions (PSC), which generate multiple peaks in the power-voltage characteristic of the PV array. Thus, this article addresses the performance of the newly developed jellyfish search optimization (JSO) strategy in the PV frameworks to follow the global maximum power point (GMPP) under PSC.
format	article
author	Afroz Alam Preeti Verma Mohd Tariq Adil Sarwar Basem Alamri Noore Zahra Shabana Urooj
author_facet	Afroz Alam Preeti Verma Mohd Tariq Adil Sarwar Basem Alamri Noore Zahra Shabana Urooj
author_sort	Afroz Alam
title	Jellyfish Search Optimization Algorithm for MPP Tracking of PV System
title_short	Jellyfish Search Optimization Algorithm for MPP Tracking of PV System
title_full	Jellyfish Search Optimization Algorithm for MPP Tracking of PV System
title_fullStr	Jellyfish Search Optimization Algorithm for MPP Tracking of PV System
title_full_unstemmed	Jellyfish Search Optimization Algorithm for MPP Tracking of PV System
title_sort	jellyfish search optimization algorithm for mpp tracking of pv system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7b972681552641348dda1b762a529c1d
work_keys_str_mv	AT afrozalam jellyfishsearchoptimizationalgorithmformpptrackingofpvsystem AT preetiverma jellyfishsearchoptimizationalgorithmformpptrackingofpvsystem AT mohdtariq jellyfishsearchoptimizationalgorithmformpptrackingofpvsystem AT adilsarwar jellyfishsearchoptimizationalgorithmformpptrackingofpvsystem AT basemalamri jellyfishsearchoptimizationalgorithmformpptrackingofpvsystem AT noorezahra jellyfishsearchoptimizationalgorithmformpptrackingofpvsystem AT shabanaurooj jellyfishsearchoptimizationalgorithmformpptrackingofpvsystem
_version_	1718431535406776320

Jellyfish Search Optimization Algorithm for MPP Tracking of PV System

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