A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition

Abstract

The depletion of fossil fuels and rising energy demand have increased the use of renewable energy. Among all SolarPVs, systembased electricity production is increased due to multiple advantages. In this paper a Solar PV system with an Artificial Neural Network (ANN)-based Maximum Power Point Tracking (MPPT) controller is developed. ANN has multiple advantages like stability, improved dynamic response, and fast and precise output. The System is modelled with a DC-DC boost converter with Perturb and Observe (P&O)-based MPPT controller which is operated in MATLAB-based Simulink model. Both the controller output is analyzed and compared, among these two controllers ANN has very fast and more precise output under dynamic conditions.