ANN Based MPPT Controller to an Interleaved Soft Switching Boost Converter for a PV System

The proposed project uses an Artificial Neural Network (ANN) based Maximum Power Point Tracking (MPPT) Controller to an Interleaved Soft Switching Boost Converter for a stand alone system. This topology used to raise the efficiency of the converter of the PV power conditioning system. It minimizes switching losses by adopting a resonant soft-switching method. The overall efficiency is increased when compared with the conventional hard switching interleaved boost converter. ANN based Maximum power point tracking gives accurate tracking of operating points and improves panel efficiency. Simulation is done using MATLAB Software. The simulation results show the low input current ripple, high overall efficiency and good transient response is achieved.