LAPSE:2023.33355
Published Article
LAPSE:2023.33355
Estimation of Single-Diode Photovoltaic Model Using the Differential Evolution Algorithm with Adaptive Boundaries
Carlos Cárdenas-Bravo, Rodrigo Barraza, Antonio Sánchez-Squella, Patricio Valdivia-Lefort, Federico Castillo-Burns
April 21, 2023
Abstract
This study proposes a calculation methodology that determines the optimal boundary parameters of the single-diode photovoltaic model. It allows the calculation of the single-diode photovoltaic model when no reference parameter boundaries are available. The differential evolution algorithm, integrated with a step-by-step boundary definition module, is used to calculate the optimal parameters of the single-diode photovoltaic model, improving the performance of the classic algorithm compared with other studies. The solution is validated by comparing the results with well-established algorithms described in the state-of-the-art, and by estimating the five important points (cardinal points) of an IV curve, namely short-circuit, maximum power, and open circuit points, using a database composed of 100 solar photovoltaic modules. The results show that an optimal set of parameter boundaries enables the differential evolution algorithm to minimize the error of the estimated cardinal points. Moreover, the proposed calculus methodology is capable of producing high-performance response photovoltaic models for different technologies and rated powers.
Keywords
adjustable limits, boundaries calculation, differential evolution algorithm, photovoltaic, single-diode model
Suggested Citation
Cárdenas-Bravo C, Barraza R, Sánchez-Squella A, Valdivia-Lefort P, Castillo-Burns F. Estimation of Single-Diode Photovoltaic Model Using the Differential Evolution Algorithm with Adaptive Boundaries. (2023). LAPSE:2023.33355
Author Affiliations
Cárdenas-Bravo C: Department of Electrical Engineering, Universidad Técnica Federico Santa María, Santiago 8320000, Chile
Barraza R: Department of Mechanical Engineering, Universidad Técnica Federico Santa María, Santiago 8320000, Chile [ORCID]
Sánchez-Squella A: Department of Electrical Engineering, Universidad Técnica Federico Santa María, Santiago 8320000, Chile
Valdivia-Lefort P: Department of Electrical Engineering, Universidad Técnica Federico Santa María, Santiago 8320000, Chile [ORCID]
Castillo-Burns F: Department of Mechanical Engineering, Universidad Técnica Federico Santa María, Santiago 8320000, Chile
Journal Name
Energies
Volume
14
Issue
13
First Page
3925
Year
2021
Publication Date
2021-06-30
ISSN
1996-1073
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Original Submission
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PII: en14133925, Publication Type: Journal Article
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LAPSE:2023.33355
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https://doi.org/10.3390/en14133925
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Apr 21, 2023
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