Using Firefly Optimization Method to Extract the Parameters of Photovoltaic Model System

Metaheuristic methods are global optimization techniques that attempt to reproduce natural phenomena or social behavior. The flashing characteristic of firefly behavior has been depended to build up the firefly algorithm (FA). The present paper proposed a method for parameter extraction of photovoltaic (PV) module. Fine tune the parameters of the algorithm is quite important to get better results. Therefore, the concern in this paper also studies the test of the control parameters. Eleven case studies have been introduced to examine the results and to select the best case with powerful precision and speed of convergence with respect to other cases.