4.6 Article

Enhancing the Accuracy of an Explicit Solar Cell I-V Model via Low-Complexity Search-Based Parameter Extraction

期刊

IEEE ACCESS
卷 10, 期 -, 页码 115823-115832

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3219069

关键词

Parameter extraction; Computational modeling; Mathematical models; Optimization; Photovoltaic cells; Analytical models; Voltage control; Curve fitting; Solar cell; modeling; parameter extraction; curve fitting

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A new method for extracting parameters of the ETPQM model for solar cell I-V characteristics is proposed in this paper, which achieves better accuracy and shorter execution time through introducing a new I-V point condition and low-complexity search procedure.
A new approach for extracting parameters of the recently introduced explicit two-piece quadratic model (ETPQM) for solar cell current-voltage (I-V) characteristics is proposed. It consists in introducing a new I-V point condition which enables expressing all ETPQM parameters as functions of an auxiliary parameter belonging to a subset of the unit interval, whose optimal value is then found by means of a low-complexity search procedure. The proposed approach is validated for different solar cells via performance (i.e., accuracy and execution time) comparisons against analytical ETPQM parameter extraction and similar low-complexity search-based methods applicable to the one-diode model (ODM). Obtained results show that the proposed method consistently outperforms the original analytical ETPQM parameter extraction in terms of accuracy. Furthermore, when compared to the low-complexity ODM-based methods, it: (i) approaches and, in some cases, surpasses their accuracies; (ii) yields much smaller execution time; and (iii) avoids the problem of wrong maximum power point fitting that may occur when using the considered low-complexity ODM-based methods.

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