Analysis of Photovoltaic Five-Parameter Model

The large diffusion of renewable energies and, in particular, of Photovoltaic (PV) power plants, leads to new challenges in planning and managing electrical grids. Within this frame, the modeling of PV modules, and thus of PV plants, is important for the capability to understand how the plants will respond to changes in environmental conditions, and for the forecasting of the production. The most common model is the five-parameter model, where the V-I relation is function of a set of parameters that should be chosen properly in order to fit the model to the real PV module (matching of parameters).In this paper, the module parameter matching has been done with Social Network Optimization, an Evolutionary Optimization Algorithm, in order to fit the model to the measured data. Then, the performances of the fitted model will be analyzed as function of the external environmental parameters.