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Methods for Estimating One-Diode Model Parameters of Photovoltaic Panels and Adjusting to Non-Nominal ConditionsVIEIRA, F. H. T. , CORREA, H. P.
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current-voltage characteristics, equivalent circuits, optimization, parameter estimation, photovoltaic cells
photovoltaic(13), energy(11), solar(8), single(7), parameters(7), model(7), diode(7), renewable(5), power(4), jrenene(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2019-02-28
Volume 19, Issue 1, Year 2019, On page(s): 27 - 34
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.01004
Web of Science Accession Number: 000459986900004
SCOPUS ID: 85064222002
In this work, we propose a novel method for estimating the one-diode equivalent circuit parameters for photovoltaic (PV) panels in order to obtain accurate current-voltage (I-V) characteristic curves. The performance of the proposed method is compared to those of some works in the literature. We considered as the main comparison parameters the following: root mean square error (RMSE), relative error at the maximum power point and computational processing time. The proposed method provides estimations with low processing time and good precision, the latter being a consequence of a procedure for improving the estimation based on the empirical I-V characteristic curve of the PV panel. Subsequently, we present a new method for adjusting the estimated I-V characteristic curve according to variations in ambient conditions. To this end, we develop a simple representation of the parameter adjustment via an equivalent circuit. The proposed adjustment method accuracy is also compared to those of other methods established in the literature, attaining better performance in terms of RMSE and other error indexes.
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 Enhancing the Accuracy of an Explicit Solar Cell I-V Model via Low-Complexity Search-Based Parameter Extraction, Correa, Henrique P., Vieira, Flavio H. T., IEEE Access, ISSN 2169-3536, Issue , 2022.
Digital Object Identifier: 10.1109/ACCESS.2022.3219069 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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