Estimation of Single-Diode Photovoltaic Model Using the Differential Evolution Algorithm with Adaptive Boundaries
Autor: | Patricio Valdivia-Lefort, Rodrigo Barraza, Federico Castillo-Burns, Antonio Sanchez-Squella, Carlos Cárdenas-Bravo |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Technology
Control and Optimization Maximum power principle Computer science single-diode model 020209 energy No reference Energy Engineering and Power Technology Boundary (topology) Physics::Optics 02 engineering and technology Set (abstract data type) photovoltaic boundaries calculation 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Engineering (miscellaneous) Differential evolution algorithm Diode Renewable Energy Sustainability and the Environment Photovoltaic system adjustable limits 021001 nanoscience & nanotechnology 0210 nano-technology Algorithm Energy (miscellaneous) Cardinal direction differential evolution algorithm |
Zdroj: | Energies Volume 14 Issue 13 Energies, Vol 14, Iss 3925, p 3925 (2021) |
ISSN: | 1996-1073 |
DOI: | 10.3390/en14133925 |
Popis: | 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. |
Databáze: | OpenAIRE |
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