New Approach for Photovoltaic Parameters Extraction for Low-Cost Electronic Devices

Andrés Firman, Cesar Prieb, Alexis Raúl González Mayans, Manuel Cáceres, Luis Horacio Vera and Juan de la Casa Higueras ()
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Andrés Firman: Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina
Cesar Prieb: LABSOL Laboratório de Energia Solar, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, Porto Alegre 9500, Brazil
Alexis Raúl González Mayans: Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina
Manuel Cáceres: Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina
Luis Horacio Vera: Group of Renewable Energies (GER), Northeastern National University, Corrientes 3400, Argentina
Juan de la Casa Higueras: IDEA Solar Energy Research Group, Electronics and Automation Engineering Department, University of Jaén, Las Lagunillas Campus, 23071 Jaén, Spain

Energies, 2023, vol. 16, issue 13, 1-13

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 ( I – V ) 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 I – V curve are discussed. This methodology demonstrates the capability to accurately adjust the model along the entire I – V curve, determine the maximum power, and is not dependent on highly variable parameters.

Keywords: photovoltaics; electrical characterization; five-parameter electrical model; I – V curve (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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