Artificial intelligence based maximum power point tracking algorithm for photo-voltaic system under variable environmental conditions

Solar photo-voltaic (PV) arrays have non-linear characteristics with distinctive maximum power point (MPP) which depends on environmental conditions such as irradiation and temperature. In order to obtain continuous maximum power from PV arrays under varying environmental conditions, maximum power point tracking (MPPT) control methods are employed. The fuzzy logic controller (FLC) and perturb and observe (PO) based MPPT provides maximum power from PV renewable energy sources. Simulated results show that FLC reduces the fluctuation about the MPP and provides increasing efficiency in production of electricity as compared to PO control method.