Adaptive Virtual Inertia Control for DC Microgrid Based on Droop Curve Intercept Adjustment

In order to improve the voltage stability and dynamic performance of the DC microgrid and reduce the complexity of the control system, this paper proposes an adaptive virtual inertia control (AVIC) method for the DC microgrid based on droop curve intercept adjustment (DCIA). Power function is nested in arctangent function, and the intercept of the droop curve is adjusted according to the dynamic change of voltage and voltage change rate to control the converter to release or absorb power quickly, so as to provide inertial support for the DC microgrid. A small-signal model of a four-terminal DC microgrid with AVIC is established, and the influence of main control parameters on the system stability is revealed through the root-locus analysis. Finally, the effectiveness of the proposed method is verified by the hardware-in-the-loop simulation. © 2021 Automation of Electric Power Systems Press.