Model Predictive Control Based Grid Connected Inverter for Renewable Energy Applications

Abstract

Model Predictive Control (MPC) for grid-connected inverters has been presented in this paper. The standard proportional-integral controller based system is replaced by this control method for a two-level inverter using Euler's approximation technique to improve the inverter's dynamic response. To anticipate the grid-connected inverter's longer-term behaviour, a replacement predictive mathematical model is offered, which is likened to the reference signal to decide the system's cost function. With this MPC approach, the cost functions of the converter are derived using all possible switching vectors. The associated switching vector for the minimal possible function is then chosen to activate the inverter switches throughout the subsequent sampling instant. The suggested scheme is validated in Simulink to verify its effectiveness and performance. In comparison to the PI-based controller, total harmonic distortion (THD) and current error are minimized.