Data-Driven Adaptive Compensation in Droop-Operated Low-Voltage Microgrids

AC microgrids typically use droop-operated grid-forming inverters for voltage and frequency regulation as this allows stabilisation of the microgrid without communication. However, in cases with very low X/R line ratios, there is greater coupling between real and reactive power and stability issues can occur. This paper proposes the use of an adaptive data-driven compensator which operates in conjunction with droop-control. The proposed data-driven control uses an LQR formulation for improved performance, and is updated in real-time according to developed criteria in order to adapt to network changes. We demonstrate improved stability regions via a large-scale MATLAB/Simulink study of a two-inverter test system where the line and load parameters are varied randomly.