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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This work proposes a new five-parameter model equation for PV devices, which operates as a function of the main representative parameters of PV devices. It is specifically developed for implementation in embedded systems. The methodology presented in this work is notable due to the fact that three of the five parameters can be directly extracted from the experimental current–voltage (IV) curve, simplifying the iterative process until a pre-set small difference in the determination of the maximum power is achieved. The iterative methodology for extracting the remaining parameters is also described. The proposed methodology is verified by applying it to seven different PV technologies, including crystalline and thin-film technologies. Its parameters are compared with those obtained using the highly precise trust region iterative method. The resulting parameters and the error in the adjustment along the IV curve are discussed. This methodology demonstrates the capability to accurately adjust the model along the entire IV curve, determine the maximum power, and is not dependent on highly variable parameters.

Details

Title
New Approach for Photovoltaic Parameters Extraction for Low-Cost Electronic Devices
Author
Firman, Andrés 1 ; Prieb, Cesar 2 ; González Mayans, Alexis Raúl 1   VIAFID ORCID Logo  ; Cáceres, Manuel 1   VIAFID ORCID Logo  ; Vera, Luis Horacio 1   VIAFID ORCID Logo  ; Juan de la Casa Higueras 3   VIAFID ORCID Logo 

 Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina; [email protected] (A.F.); [email protected] (A.R.G.M.); [email protected] (M.C.); [email protected] (L.H.V.) 
 LABSOL Laboratório de Energia Solar, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, Porto Alegre 9500, Brazil; [email protected] 
 IDEA Solar Energy Research Group, Electronics and Automation Engineering Department, University of Jaén, Las Lagunillas Campus, 23071 Jaén, Spain 
First page
4956
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
19961073
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2836389279
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.