Solar Cell Parameter Estimation Using School-Based Optimization Algorithm

Recently, great challenges emerged in the field of using renewable energy sources, and one of the most important of these challenges is the use of solar energy, so many researches have been done to show the behavior of solar photovoltaic (PV) cells through the current-voltage characteristic (I-V), which is determined by the circuit model's parameters. Therefore, the importance of extraction of the cell model parameters is necessary for conducting studies of controlling solar PV systems. The main goal of this article is to identify solar cell parameters using school-based optimization (SBO) algorithm. By comparing the results obtained by the SBO with those obtained by other previously published algorithms, the effectiveness and accuracy of SBO are proved. The proposed parameter estimation algorithm is applied for each of the two mathematical models (single-diode and double-diode) of the solar cell. The accuracy of the proposed algorithm was checked through current-voltage (I-V) and power-voltage (P-V) characteristics regarding the corresponding measured ones.