An approach to identify and characterize a solar panel using five parameters

Abstract

The efficiency and accuracy of the method used in modeling the ET-M53695 photovoltaic panel (PV) is necessary to predict the performance of photovoltaic systems. This article presents and analyzes three cases used (manufacturer, simulink model and the proposed model) to estimate the unknown parameters of photovoltaic devices for the five-parameter diode model. The study has two main objectives: (i) extract the unknown parameters by the iterative method of the f solve function from Matlab, the simulink and manufacturer model under standard test conditions (STC), (ii) verify the efficiency and accuracy of the proposed method, at each data point of the current-voltage curve (category 1), and the error relative to each point of short circuit current (Isc), open circuit voltage (Voc) and maximum power,(Pmax) (category 2). The convergence of the proposed method was very fast and the differences between the different parameters of the three models under the STC conditions are almost minimal and the error is always well below 0.01%. We also note that the manufactur ers' curves and the curves of the method used are almost identical. The results show that the most accurate method is obtained by the proposed model. It was shown that there is good agreement with all important points of the I -V characteristics; especially at the points Isc, Voc and Pmax, and with the energy supplied by the PV system.