Model Predictive Control Based Maximum Power Point Tracking Algorithm for Solar PV Module

Abstract

This paper analyzed the effect of various maximum power point tracking (MPPT) algorithms applied on the solar PV module and describes the importance of Model Predictive Control (MPC) algorithm applied for MPPT of solar PV. Perturb & Observe (P&O) and Incremental Conductance (InC) based tracking algorithms are the conventional and most popular tracking algorithms for MPPT of solar PV module, but they are lacking due to low efficiency with slower tracking speed of maximum power point (MPP) and higher oscillations. DC-DC boost converter has been used to scale the low-level voltage into high-level voltage. The complete setup inclusive of PV module, DC-DC boost converter and tracking algorithms has been designed and analysed on MATLAB/Simulink Software and the simulated results shows the performance of the applied algorithms on the PV module setup and suffice that MPC based tracking algorithm is well suited for solar PV MPPT setup.