Model predictive control of a grid connected quasi-Z-source inverter
Abstract
- The quasi-Z-source inverter (qZSI) is recognized as an attractive solution for the photovoltaic system compared with the conventional voltage source inverter due to its benefits such as the capability to boot the DC voltage input and overcome the drawback of the short-circuit effect in switching devices. This paper presents a model predictive control strategy for a grid-connected photovoltaic system using qZSI that achieves fast dynamic response without cascaded control loop structure and modulation block. A mathematical model of the qZSI is used to predict the behavior of the load current, inductor current, and capacitor voltage. A cost function is defined that includes the error between the reference and predicted values. The minimization of the cost function is carried out to obtain the best switching state which is implemented to the inverter. Simulation analysis are performed in Matlab/Simulink with different operating conditions of the system to validate the effectiveness and feasibility of the proposed method.