A New Approach to Select an Optimal PV Module Model Under the Outdoor Conditions

Despite the great development in modeling the I-V characteristics of the PV module, the outdoor conditions variations still the main difficulty to predict its performances. In this work, anew approach proposed to reconstruct the I-V characteristic of a PV module under variousreal conditions of irradiance and temperature. Based on the characterization tests data, carried out on four different PV modules technologies (monocrystalline silicon,polycrystalline silicon, thin film CIS and amorphous silicon), under semi-arid environment conditions of Ghardaia site, a developed methodology has been presented. It consists of exploiting a set of the five parameters data versus irradiance and temperature obtained via the five parameters model. The assembled data have been reconstructed via analytical and adaptive neuro-fuzzy inference system (ANFIS) models, for each PV module technology. The reconstructed of five parameters model obtained by ANFIS modelgive a good precision for all tested PV module types, in comparison to the analytical model