ANFIS Model to Calculate Open Circuit Voltage and Maximum Power Voltage to Effectively Emulate the Electrical Characteristics of Four Photovoltaic Technologies

The aim of this work is to develop a neuro-fuzzy model (ANFIS) for the calculation of the open circuit voltage and the maximum power voltage of photovoltaic generators of four types of technologies. The technologies studied are amorphous/microcrystalline, cadmium telluride, copper indium di-selenium, and monocrystalline silicon. In order to evaluate the performance of the proposed ANFIS model, we compared the electrical characteristics determined using the ANFIS system to the electrical characteristics obtained using a system of analytical equations developed by smoothing the experimental measurements. For the experimental validation of our research work, we used an experimental database from the station located at Green Energie Park in Bengrire Morocco, The Green Energy Park is a solar energy test, research and training platform located in the green city of BenGuerir in Morocco. It was developed by the Institute for Research in Solar Energy and New Energies (IRESEN) with the support of the Ministry of Energy, Mines, Water and the Environment as well as the OCP Group. This first platform in Africa, a unique model of its kind, allows on the one hand, the creation of synergies and the pooling of research infrastructures to create a critical mass and achieve excellence, and on the other hand the acquisition of knowledge and know-how by the various partner universities as well as the industrialists. The comparison results show that the proposed ANFIS model is more accurate than the analytical model and allows to better emulate the electrical characteristics of the studied photovoltaic generators. The performance of the ANFIS model is evaluated using various performance metrics, such as mean absolute error, root mean squared error, and correlation coefficient. The results show that the proposed ANFIS model is capable of accurately predicting the open-circuit voltage and the maximum power voltage of the four PV technologies. The model can be used as an effective tool for designing and optimizing photovoltaic systems that incorporate these technologies.