基于下垂曲线截距调整的直流微电网自适应虚拟惯性控制

为了改善直流微电网的电压稳定性和动态性能,降低控制系统的复杂性,提出一种基于下垂曲线截距调整的直流微电网自适应虚拟惯性控制(AVIC)方法.在反正切函数中嵌套幂函数,根据电压和电压变化率的动态变化调整下垂曲线的截距,以控制换流器快速释放或吸收功率,从而为直流微网提供惯性支持.建立含AVIC的四端直流微电网小信号模型,并通过根轨迹分析揭示主要控制参数对系统稳定性的影响规律.最后,通过硬件在环仿真验证了所提方法的有效性.

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.