A genetic algorithm for identifying the single diode model parameters of a photovoltaic panel

In this paper the identification of the single-diode model of photovoltaic (PV) generators operating in outdoor conditions has been carried out. The non-linear equation system, describing the PV source in five operating points, is re-written as an optimization problem and it is solved by using a genetic algorithm. The parameters of the single-diode model are evaluated for different combinations of irradiance and temperature conditions. Contrary to several approaches proposed in literature such analysis shows that all the parameters need to be adjusted with respect to the environmental conditions to reduce the errors in the current, power and energy predictions.