Artificial Neural Network based MPPT Controller with Boost Converter for Varying Solar Insolation in Arba Minch

Abstract

Solar energy is an elixir of energy that can be used to generate electricity with the help of technology. Ethiopia has an abundance of natural geometric to generate electrical energy from solar irradiation. Renewable energy is a promising word for making the country free of fossil fuels. However, due to low efficiency, it necessitates a variety of methods to maximise output efficiency. In this effort, a MATLAB-SIMULINK PV module model was created to stuff Maximum Power Point (MPP) from solar energy. To test the performance of the proposed model, a closed loop system was created using a conventional controller and an artificial neural network (ANN). The developed model was put through its paces with various isolations. In response to uncertain solar irradiation conditions, the Artificial Neural Network ANN associated with the PV module delivered fast response and minimal oscillations.