Utilisation des techniques intelligentes (PSO/GA) en vue de la supervision d’une installation de production d’énergie renouvelable

Abstract

Photovoltaic systems (PV) are a device that converts solar energy into electrical energy. it consists of several solar cells, The output power induced is influenced by the intensity of solar cell insolation, temperature of the solar cells and by the load. hence, it is important to track the maximum power point (MPPT) of the input source to use the panel at the optimal point. In this work, new MPPT methods have been applied by using two optimization algorithms PSO and AGs to finding the optimum membership functions (MFs) of a fuzzy logic controler, in order to reduce not only the time required to track the maximum power point but also to reduce powers’ fluctuation. Simulation results show that performance of the two controlers obtained have a better behavior than that a original fuzzy logic controller.