Optimal Solar Cell Parameter Estimation Based on Sooty Tern Optimization Algorithm

One of the most important issues in improving of the efficiency of the photovoltaic system (PV) is finding the correct PV model. Determination of optimum parameters for PV models is vital to optimize and simulate PV systems based on the I-V characteristic, which is a nonlinear relationship Therefore, reaching the best PV model requires effective optimizers. This paper applies a new bio-inspired algorithm called Sooty Tern Optimization Algorithm (STOA) to obtain values of unknown parameters of various types of solar cells. The results of the experiment showed that, compared to other optimization algorithms, the used algorithm can obtain more accurate values of the estimated parameters.