Model Predictive Control Strategy-based Voltage Sensing of Quasi Z-Source Cascaded Multi-Level PV Inverter with Distributed MPPT Algorithm

Abstract

The evolving quasi Z-source cascaded multilevel inverters (QZS-CMI) need appropriate control logic for effective switching state of operation. This work proposes the model predictive control (MPC) based QZS-CMI in a PV generation system. The MPC, with its characteristic of prediction of future response and efficient constraint handling capacity, controls the output voltage and capacitor voltage. The proposed topology effectively solves the significant detrimental aspect of switching stress usually arising in a high voltage inverter system, by the increased number of levels of the inverter circuit. The MPC based control strategy exhibits a fast-dynamic response and maintains the output power quality in an off-grid application. The simulation model with experimental results helps to validate the optimal operation of the proposed control logic in seven levels QZS-CMI.