A new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system

The output power of solar photovoltaic (PV) system is intermittent in nature with a non-linear output voltage. This has peak power points in accordance with varying irradiation and temperature. Hence a Maximum Power Point Tracker (MPPT), which is power extraction technique is essential in PV power s...

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Autores principales:	V. Srinivasan, C.S. Boopathi, R. Sridhar
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Photovoltaic MPPT Particle swarm optimistion Differential evoution (DE) Meerkat algorithm Partially shading Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/195e467282754a9a9fbaa40748e22468
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id	oai:doaj.org-article:195e467282754a9a9fbaa40748e22468
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spelling	oai:doaj.org-article:195e467282754a9a9fbaa40748e224682021-11-22T04:21:50ZA new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system2090-447910.1016/j.asej.2021.03.017https://doaj.org/article/195e467282754a9a9fbaa40748e224682021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2090447921001829https://doaj.org/toc/2090-4479The output power of solar photovoltaic (PV) system is intermittent in nature with a non-linear output voltage. This has peak power points in accordance with varying irradiation and temperature. Hence a Maximum Power Point Tracker (MPPT), which is power extraction technique is essential in PV power systems to ensure maximum power delivery for a given point of time. Thenonlinear power voltage curve gets more intense when shading of PV panels takes place, as the panels receive irregular and different solar irradiation, which alters the profile of power –voltage (P-V) curves. Due to the partial shading, the panels exhibit peculiar multiple power peaks instead of one single peak as in the case of uniform irradiation and as a result the conventional MPPT schemes could attain only local maxima and the global one. This research article proposes a new intelligent, bio inspired Meerkat optimization algorithm (MOA) which is capabale finding the global power peak and ensured maximum power delivery. ThisMOA MPPT technique is employed for a 120 W PV system and the versatility of the said scheme is tested by subjecting the PV panel for three different partially shaded conditions. The results reveal that the MOA exhibits fast tracking speed of with improved efficiencyof 99.8% when compared with particle swarm optimization (PSO) and differential evolution algorithm (DE)MPPT schemes.V. SrinivasanC.S. BoopathiR. SridharElsevierarticlePhotovoltaicMPPTParticle swarm optimistionDifferential evoution (DE)Meerkat algorithmPartially shadingEngineering (General). Civil engineering (General)TA1-2040ENAin Shams Engineering Journal, Vol 12, Iss 4, Pp 3791-3802 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Photovoltaic MPPT Particle swarm optimistion Differential evoution (DE) Meerkat algorithm Partially shading Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Photovoltaic MPPT Particle swarm optimistion Differential evoution (DE) Meerkat algorithm Partially shading Engineering (General). Civil engineering (General) TA1-2040 V. Srinivasan C.S. Boopathi R. Sridhar A new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system
description	The output power of solar photovoltaic (PV) system is intermittent in nature with a non-linear output voltage. This has peak power points in accordance with varying irradiation and temperature. Hence a Maximum Power Point Tracker (MPPT), which is power extraction technique is essential in PV power systems to ensure maximum power delivery for a given point of time. Thenonlinear power voltage curve gets more intense when shading of PV panels takes place, as the panels receive irregular and different solar irradiation, which alters the profile of power –voltage (P-V) curves. Due to the partial shading, the panels exhibit peculiar multiple power peaks instead of one single peak as in the case of uniform irradiation and as a result the conventional MPPT schemes could attain only local maxima and the global one. This research article proposes a new intelligent, bio inspired Meerkat optimization algorithm (MOA) which is capabale finding the global power peak and ensured maximum power delivery. ThisMOA MPPT technique is employed for a 120 W PV system and the versatility of the said scheme is tested by subjecting the PV panel for three different partially shaded conditions. The results reveal that the MOA exhibits fast tracking speed of with improved efficiencyof 99.8% when compared with particle swarm optimization (PSO) and differential evolution algorithm (DE)MPPT schemes.
format	article
author	V. Srinivasan C.S. Boopathi R. Sridhar
author_facet	V. Srinivasan C.S. Boopathi R. Sridhar
author_sort	V. Srinivasan
title	A new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system
title_short	A new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system
title_full	A new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system
title_fullStr	A new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system
title_full_unstemmed	A new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system
title_sort	new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/195e467282754a9a9fbaa40748e22468
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A new meerkat optimization algorithm based maximum power point tracking for partially shaded photovoltaic system

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