Increase the photovoltaic conversion efficiency using Neuro-fuzzy control applied to MPPT

Photovoltaic (PV) electricity is seen as an important source of renewable energy. The PV generator is an unstable power source depending on several parameters such temperature, irradiation level etc... This paper deals with an advanced energy management of a PV plant based on an intelligent control method for the maximum power point tracking (MPPT). This latter is based on a neuro-fuzzy controller of a DC-DC converter device. The design of this controller is presented using simulation. Then a comparative study of the proposed method and Perturb and Observe (PO) performance is achieved to demonstrate its quality level in terms of energy optimization and response rapidity to change in operation conditions.