Dynamic analysis of an improved MPPT based on model predictive control applied to a single-ended primary-inductor converter

Photovoltaic (PV) systems are playing a major role in the energy transition towards renewables, and low power units are certainly key components in the smart city concept. Indeed, in urban environments it is mandatory to apply a suitable Maximum Power Point Tracking (MPPT) in order to maximize the efficiency and reduce the space occupancy. In this paper an improved MPPT-Predictive Control is proposed, to be applied to a PV panel connected by a Single-Ended Primary-Inductor Converter (SEPIC). The goal of this new technique is to reduce the hardware complexity (sensors number) of the classical Predictive Control technique and at the same time to keep its performance when the system works in buck or boost mode. The behavior of such a system is analyzed in all mode operations by means of a simulation model implemented in the Matlab/Simulink software environment, showing very good results.