What are the advantages and challenges of using model predictive control for grid-connected converters?
Model predictive control (MPC) is a control technique that uses a mathematical model of the system to predict its future behavior and optimize the control actions accordingly. MPC has been widely applied to various power electronics applications, such as motor drives, power converters, and renewable energy systems. In this article, we will explore the advantages and challenges of using MPC for grid-connected converters, which are power electronics devices that interface different sources and loads with the electric grid.