Abstract

This paper presents a Model-based Predictive Control (MPC) strategy for regulating current in inverter-interfaced distributed energy resources by implementing circular constraints. Unlike traditional MPC implementations that often rely on polytopic approximations, our approach employs quadratic constraints to more accurately represent the physical limitations of the power converter. The main contribution of this work lies in the necessary transformations to apply circular constraints in MPC within the context of power electronics. The control problem is formulated as a quadratically constrained quadratic program (QCQP), with optimization performed using MATLAB's fmincon command. Simulation results demonstrate the effectiveness of the proposed MPC framework in ensuring stable and secure operation, highlighting the advantages of directly incorporating circular constraints for enhanced performance.