Abstract
In this paper a comparison of some explicit methods, used for parameters identification of the photovoltaic single-diode model, has been carried out. The analysis is aimed at understanding the level of reliability of the methods when applied for photovoltaic model-based diagnostic functionalities. The study is focused on the series resistance variation since this is the parameter mainly related to the photovoltaic degradation phenomenon. Although in online detection of PV degradation the explicit methods are preferred for their simplicity, the experimental results demonstrated that is not recommended to adopt only these methods because the higher the series resistance, the higher error is introduced, thus affecting the diagnosis results.
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Acknowledgements
This work has been supported by the project RTI2018-095097-B-I00 at the 2018 call for I+D+i Project of the Ministerio de Ciencia, Innovación y Universidades, Spain, by the PRIN17 (grant number 2017WA5ZT3 003) project of MIUR Italian Ministry and by FARB funds of the University of Salerno, Italy.
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Petrone, G. et al. (2020). Reliability of Explicit Methods to Identify the Parameters of PV Panels with Degraded Series Resistance: An Experimental Comparison. In: Zamboni, W., Petrone, G. (eds) ELECTRIMACS 2019. Lecture Notes in Electrical Engineering, vol 697. Springer, Cham. https://doi.org/10.1007/978-3-030-56970-9_12
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DOI: https://doi.org/10.1007/978-3-030-56970-9_12
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