A New Simplified Five-Parameter Estimation Method for Single-Diode Model of Photovoltaic Panels

By Vincenzo Stornelli, Mirco Muttillo, Tullio de Rubeis, Iole Nardi. Energies, 2019

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This work proposes a new simplified five-parameter estimation method for a single-diode model of photovoltaic panels. The method, based on an iterative algorithm, is able to estimate the parameter of the electrical single-diode model from the panel’s datasheet. Two iterative steps are used to estimate the five parameters starting from data provided by the manufacturer (nameplate values or I–V curves). The first step permits finding the optimal value of the diode ideality factor A, and the second step allows the calculation of the Rp value to improve the accuracy. A model that takes into account variations in temperature and solar irradiance has been used to validate the behavior of the output parameters. Compared to other estimation work, the proposed method shows the best result in the standard test condition (STC) and with a variable solar irradiance. Indeed, the optimization of the A, Rs, and Rp parameters allows guaranteeing the minimum error between I–V curves obtained from method and datasheet.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/43235c38a80d74af14854b46a4f72be4ef99889b