Extraction of Uncertain Parameters of Double-Diode Model of a Photovoltaic Panel Using Simulated Annealing Optimization

In this article, our goal is to improve the estimation of the parameters of solar photovoltaic models by using the simulated annealing (SA) algorithm. The proposed approach takes into account the uncertainties of measurements. This approach consists of three steps. The first is the extraction of the parameters in a conventional manner based on SA. Then, in order to reduce the search interval of parameters, we will determine the uncertainties of the measurements of each parameter. Finally, we will determine the instantaneous parameters, taking into account the results of the first two steps. For the validation of proposed theoretical developments, the proposed approach is applied to two different commercial solar panel parameter estimation problems (the monocrystalline solar module STM6-40/36 and the polycrystalline silicon cells photovoltaic module Sharp ND-R250A5). The results obtained are compared with well-established algorithms to confirm its effectiveness. These comparisons have shown that the proposed method exhibits largely more effective performances than existing methods in the literature.