Model Predictive Approach to Improve Stability of Resistive Droop Control in Isolated AC Microgrids

Abstract

This study explores the application of Finite Control Set Model Predictive Control (FCS-MPC) in the primary control layer of a microgrid utilizing the resistive droop control technique. Given its compatibility with microgrid line impedances, predictive control effectively replaces the voltage and current loops found in conventional linear controllers. This approach enhances system responsiveness, stabilizes voltage and frequency, and ensures efficient power distribution among parallel inverters. Simulation results highlight the proposed control method’s strong ability to maintain voltage and frequency deviations within acceptable limits while achieving precise power sharing and high voltage quality.