Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm

The global demand for renewable energy is growing, and one of the proposed solutions to this energy crisis is the use of photovoltaic systems. So far, they are a reliable solution, as they are nonpolluting and can be used almost anywhere on the planet. However, the design and development of more eff...

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Autores principales:	Ndongmo Fotsa Nicaire, Perabi Ngoffe Steve, Ndjakomo Essiane Salome, Abessolo Ondoua Grégroire
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/3bfc130066334165bf878ea9b2478ce8
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spelling	oai:doaj.org-article:3bfc130066334165bf878ea9b2478ce82021-11-08T02:36:28ZParameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm1687-529X10.1155/2021/4343203https://doaj.org/article/3bfc130066334165bf878ea9b2478ce82021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/4343203https://doaj.org/toc/1687-529XThe global demand for renewable energy is growing, and one of the proposed solutions to this energy crisis is the use of photovoltaic systems. So far, they are a reliable solution, as they are nonpolluting and can be used almost anywhere on the planet. However, the design and development of more efficient photovoltaic cells and modules require an accurate extraction of their intrinsic parameters. Up to date, metaheuristic algorithms have proven to be the best methods to obtain accurate values of these intrinsic parameters. Hence, to extract these parameters reliably and accurately, this paper presents an optimization method based on the principle of bald eagle search (BES) during fish hunting. This search is divided into three steps: in the first stage (space selection), the eagle selects the space with the largest number of prey; in the second stage (space search), the eagle moves into the selected space to search for prey; in the third stage (dive), the eagle swings from the best position identified in the second stage and determines the best point to hunt. Thus, we used the proposed BES algorithm to determine the parameters of the single-diode model (SDM), the double-diode model (DDM), and the PV modules. This algorithm converges very quickly and gives a root mean square error (RMSE) of 9.8602e−04 for the single-diode model and 9.8248e−4 for the dual-diode model. The results obtained show that the proposed algorithm is more efficient than the other methods available in the literature, in terms of the better accuracy of the results obtained. The good harmony of the I-V and P-V characteristic curve of the calculated parameters with that of the measured data from a PV module/cell data sheet proves that the proposed BES should be used among the methods provided in the literature for the identification of PV solar cell parameters.Ndongmo Fotsa NicairePerabi Ngoffe SteveNdjakomo Essiane SalomeAbessolo Ondoua GrégroireHindawi LimitedarticleRenewable energy sourcesTJ807-830ENInternational Journal of Photoenergy, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Renewable energy sources TJ807-830
spellingShingle	Renewable energy sources TJ807-830 Ndongmo Fotsa Nicaire Perabi Ngoffe Steve Ndjakomo Essiane Salome Abessolo Ondoua Grégroire Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm
description	The global demand for renewable energy is growing, and one of the proposed solutions to this energy crisis is the use of photovoltaic systems. So far, they are a reliable solution, as they are nonpolluting and can be used almost anywhere on the planet. However, the design and development of more efficient photovoltaic cells and modules require an accurate extraction of their intrinsic parameters. Up to date, metaheuristic algorithms have proven to be the best methods to obtain accurate values of these intrinsic parameters. Hence, to extract these parameters reliably and accurately, this paper presents an optimization method based on the principle of bald eagle search (BES) during fish hunting. This search is divided into three steps: in the first stage (space selection), the eagle selects the space with the largest number of prey; in the second stage (space search), the eagle moves into the selected space to search for prey; in the third stage (dive), the eagle swings from the best position identified in the second stage and determines the best point to hunt. Thus, we used the proposed BES algorithm to determine the parameters of the single-diode model (SDM), the double-diode model (DDM), and the PV modules. This algorithm converges very quickly and gives a root mean square error (RMSE) of 9.8602e−04 for the single-diode model and 9.8248e−4 for the dual-diode model. The results obtained show that the proposed algorithm is more efficient than the other methods available in the literature, in terms of the better accuracy of the results obtained. The good harmony of the I-V and P-V characteristic curve of the calculated parameters with that of the measured data from a PV module/cell data sheet proves that the proposed BES should be used among the methods provided in the literature for the identification of PV solar cell parameters.
format	article
author	Ndongmo Fotsa Nicaire Perabi Ngoffe Steve Ndjakomo Essiane Salome Abessolo Ondoua Grégroire
author_facet	Ndongmo Fotsa Nicaire Perabi Ngoffe Steve Ndjakomo Essiane Salome Abessolo Ondoua Grégroire
author_sort	Ndongmo Fotsa Nicaire
title	Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm
title_short	Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm
title_full	Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm
title_fullStr	Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm
title_full_unstemmed	Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm
title_sort	parameter estimation of the photovoltaic system using bald eagle search (bes) algorithm
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/3bfc130066334165bf878ea9b2478ce8
work_keys_str_mv	AT ndongmofotsanicaire parameterestimationofthephotovoltaicsystemusingbaldeaglesearchbesalgorithm AT perabingoffesteve parameterestimationofthephotovoltaicsystemusingbaldeaglesearchbesalgorithm AT ndjakomoessianesalome parameterestimationofthephotovoltaicsystemusingbaldeaglesearchbesalgorithm AT abessoloondouagregroire parameterestimationofthephotovoltaicsystemusingbaldeaglesearchbesalgorithm
_version_	1718443082749313024

Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm

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