DC Microgrid Bidirectional Virtual DC Motor Parameter Adaptive Control Research

In a DC microgrid, the voltage of the DC bus is susceptible to power fluctuations resulting from variations in renewable energy sources and local loads. To enhance the inertia and damping characteristics of the DC microgrid, virtual DC motor control (VDCM) is employed to emulate the inertial properties exhibited by a DC motor. The existing proportional-integral (PI) control loop in VDCM is employed in this study to obviate the necessity of power measurement and torque calculation, thereby significantly streamlining the conventional VDCM control structure. By incorporating differential compensation in addition to the powerless loop VDCM control, the dynamic performance of the system can be enhanced without compromising its steady-state characteristics. Additionally, a novel parameter adaptive control approach is proposed for VDCM. In comparison to conventional fixed-parameter control, the enhanced adaptive control method optimizes the dynamic response of the system. The control system has been modeled using a small-signal approach, and the impact of VDCM parameters on system stability has been analyzed through the utilization of Bode plots and impedance ratio criteria. The proposed control method was ultimately verified via simulation using the Matlab/Simulink platform.