Recent literature proposes some approaches that employ explicit equations for identifying the five parameters of the single-diode model describing a photovoltaic (PV) panel. These methods avoid the iterative solution of a nonlinear system of equations, whose convergence is very sensitive to the guess solution. Therefore, they are particularly suitable to perform parameter identification in real time and to be implemented on low-cost, low-performance processing platforms. In this paper, the applicability of some explicit methods, previously validated under standard test conditions, is analyzed for a large class of panels under operating conditions that are different from the standard ones. The study considers both a consolidated method for translating the PV model parameters as well as a novel approach. The analysis allows assessing the most suitable parameter translation equations for each considered explicit identification method, highlighting the effectiveness of such explicit approaches under different operating conditions. An in-depth validation based on experimental data concerning two commercial PV panels corroborates the analysis.

Translation of the Single-Diode PV Model Parameters Identified by Using Explicit Formulas

MC Di Piazza;M Luna;
2017

Abstract

Recent literature proposes some approaches that employ explicit equations for identifying the five parameters of the single-diode model describing a photovoltaic (PV) panel. These methods avoid the iterative solution of a nonlinear system of equations, whose convergence is very sensitive to the guess solution. Therefore, they are particularly suitable to perform parameter identification in real time and to be implemented on low-cost, low-performance processing platforms. In this paper, the applicability of some explicit methods, previously validated under standard test conditions, is analyzed for a large class of panels under operating conditions that are different from the standard ones. The study considers both a consolidated method for translating the PV model parameters as well as a novel approach. The analysis allows assessing the most suitable parameter translation equations for each considered explicit identification method, highlighting the effectiveness of such explicit approaches under different operating conditions. An in-depth validation based on experimental data concerning two commercial PV panels corroborates the analysis.
2017
Istituto di Studi sui Sistemi Intelligenti per l'Automazione - ISSIA - Sede Bari
Istituto di iNgegneria del Mare - INM (ex INSEAN)
Parameter identification
parameter translation
single-diode model
photovoltaics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/356494
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