Neural network based a two phase interleaved boost converter for photovoltaic system

This paper presents Neural Network (NN) based A Two-Phase Interleaved Boost Converter (IBC) for Photovoltaic (PV) system. As known that this converter is the development of boost converter. In addition, it also functions to reduce output ripple current as well as to increase the output voltage of converter. This converter is driven by Pulse Width Modulation (PWM) which is governed by using controller based on NN. NN has two inputs including solar irradiance (G) and Temperature (T) and one output. The system is validated by a comparison between the proposed system with Fuzzy Logic Controller (FLC) in changing climate conditions. From the simulation results, the proposed system can provide higher voltage than FLC. In addition, the proposed system can shorten the steady state condition and can reduce voltage oscillations.