Optimizing the AQE method for extraction of photovoltaic SDM parameters

In this work we propose an algorithm to optimize the "Analytical and quasi-explicit four arbitrary point method" (AQE method) to obtain the parameters of the single-diode photovoltaic model. Since the AQE method requires 4 voltage-current points with their respective slopes to be executed, we propose a novel way to calculate the points and slopes from the experimental voltage-current data. The new form of calculation is based on the mean slopes and allows to quickly obtain a collection of points with their slopes that has an efficient distribution, in the sense that it intelligently adapts to the curvature of the curve. Finally, an iterative 4-point selection algorithm is proposed that will minimize the type of error chosen between the curve obtained with the AQE method and the experimental data. The OptimAQE method has been tested with synthetic curves, with and without noise, and also with real curves, for the current distance and Euclidean distance metrics. In the case of exact data, the method is perfect, recovering the exact SDM parameters. When the data are noisy, in particular with real curve data, it can be seen that the OptimAQE method is at the level of the best methods in the literature and, therefore, it is proposed as a method to be taken into account by the scientific community to extract the SDM parameters in a reliable and robust manner, and completely blindly.