Parametric identification of a photovoltaic panel by the Firefly algorithm

Abstract

Solar cells are the basic structures of photovoltaic systems and solar energy conversion. Solar cell/module modeling involves the formulation of thenon-linear current versus voltage (I-V) curve. Determination of parameters plays an important role in solar cell/module modeling. This study concerns the extraction of five parameters of a solar cell with single diode, by using the new algorithm named firefly Algorithm (FA) for identification of these parameters based on the current-voltage characteristic. The found parameter values are compared with other algorithms swarm of particles (PSO) and the genetic algorithm (GA) based on the same data.