Fuzzy logic controller in optimizing of power management in stand-alone photovoltaic system

The objective of this work is to develop strategies for energy management of photovoltaic installations. An intelligent controller with improved algorithms management associated with a stand-alone photovoltaic system in order to manage battery performance when there are variations of insolation and temperature. In a first step, we implement simulation scheme using solar energy extracted by photovoltaic panels, which are connected to the storage device. We present a photovoltaic system. Then a study of DC-DC converters, which can supply the battery, is completed. The objective is to identify the most appropriate storage device for this type of application. The second part is devoted to photovoltaic panels. Its operation, its topology, its characteristics and modelling are determined; the technique of fuzzy logic MPPT method is also explained. The performance of the latter is compared with those of conventional methods (Disturbance and observation and incremental conductance) through various simulations in Matlab/Simulink. At last, the synthesis of a stand-alone photovoltaic system and its control is presented.