Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm

The identification of actual photovoltaic (PV) model parameters under real operating condition is a crucial step for PV engineering. An accurate and trusted model depends mainly on the accuracy of the model parameters. In this paper, an accurate and enhanced methodology is intended for PV module par...

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Autores principales:	Safi Allah Hamadi, Aissa Chouder, Mohamed Mounir Rezaoui, Saad Motahhir, Ameur Miloud Kaddouri
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	PV panel parameters extraction moth flame algorithm validation Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/44c5a3c5be0c4433ae8c07feca08efc3
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id	oai:doaj.org-article:44c5a3c5be0c4433ae8c07feca08efc3
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spelling	oai:doaj.org-article:44c5a3c5be0c4433ae8c07feca08efc32021-11-25T17:24:45ZImproved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm10.3390/electronics102227982079-9292https://doaj.org/article/44c5a3c5be0c4433ae8c07feca08efc32021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2798https://doaj.org/toc/2079-9292The identification of actual photovoltaic (PV) model parameters under real operating condition is a crucial step for PV engineering. An accurate and trusted model depends mainly on the accuracy of the model parameters. In this paper, an accurate and enhanced methodology is intended for PV module parameters extraction in outdoor conditions. The proposed methodology combines numerical methods and analytical formulations of the one diode model to derive the five unknown parameters in any operating condition of irradiance and temperature. First, the measured I-V curves at a random weather condition are translated to standard test conditions (i.e., G = 1000 W/m<sup>2</sup>, T = 25 °C), using translation equations. The second step consists of using an optimization algorithm namely the moth flame algorithm (MFO) to find out the five parameters at standard test conditions. Analytical formulations, at a random irradiance and temperature, are then used to express the unknown parameters at any irradiance and temperature. The proposed approach is validated under outdoor conditions against measured I-V curves at different irradiances and temperatures. The validation has also been performed under dynamic operation where the measured maximum power point coordinates (MPP) are compared to the predicted maximum power points. The obtained results from the adopted hybrid methodology confirm the accuracy of the parameter extraction procedure.Safi Allah HamadiAissa ChouderMohamed Mounir RezaouiSaad MotahhirAmeur Miloud KaddouriMDPI AGarticlePV panelparameters extractionmoth flame algorithmvalidationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2798, p 2798 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	PV panel parameters extraction moth flame algorithm validation Electronics TK7800-8360
spellingShingle	PV panel parameters extraction moth flame algorithm validation Electronics TK7800-8360 Safi Allah Hamadi Aissa Chouder Mohamed Mounir Rezaoui Saad Motahhir Ameur Miloud Kaddouri Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm
description	The identification of actual photovoltaic (PV) model parameters under real operating condition is a crucial step for PV engineering. An accurate and trusted model depends mainly on the accuracy of the model parameters. In this paper, an accurate and enhanced methodology is intended for PV module parameters extraction in outdoor conditions. The proposed methodology combines numerical methods and analytical formulations of the one diode model to derive the five unknown parameters in any operating condition of irradiance and temperature. First, the measured I-V curves at a random weather condition are translated to standard test conditions (i.e., G = 1000 W/m<sup>2</sup>, T = 25 °C), using translation equations. The second step consists of using an optimization algorithm namely the moth flame algorithm (MFO) to find out the five parameters at standard test conditions. Analytical formulations, at a random irradiance and temperature, are then used to express the unknown parameters at any irradiance and temperature. The proposed approach is validated under outdoor conditions against measured I-V curves at different irradiances and temperatures. The validation has also been performed under dynamic operation where the measured maximum power point coordinates (MPP) are compared to the predicted maximum power points. The obtained results from the adopted hybrid methodology confirm the accuracy of the parameter extraction procedure.
format	article
author	Safi Allah Hamadi Aissa Chouder Mohamed Mounir Rezaoui Saad Motahhir Ameur Miloud Kaddouri
author_facet	Safi Allah Hamadi Aissa Chouder Mohamed Mounir Rezaoui Saad Motahhir Ameur Miloud Kaddouri
author_sort	Safi Allah Hamadi
title	Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm
title_short	Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm
title_full	Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm
title_fullStr	Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm
title_full_unstemmed	Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm
title_sort	improved hybrid parameters extraction of a pv module using a moth flame algorithm
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/44c5a3c5be0c4433ae8c07feca08efc3
work_keys_str_mv	AT safiallahhamadi improvedhybridparametersextractionofapvmoduleusingamothflamealgorithm AT aissachouder improvedhybridparametersextractionofapvmoduleusingamothflamealgorithm AT mohamedmounirrezaoui improvedhybridparametersextractionofapvmoduleusingamothflamealgorithm AT saadmotahhir improvedhybridparametersextractionofapvmoduleusingamothflamealgorithm AT ameurmiloudkaddouri improvedhybridparametersextractionofapvmoduleusingamothflamealgorithm
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Improved Hybrid Parameters Extraction of a PV Module Using a Moth Flame Algorithm

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