直流微网储能DC/DC变换器的自适应虚拟直流电机控制

电力电子化的直流微电网自身缺乏惯性，当功率发生波动时，直流母线电压会产生较大突变，不利于其稳定运行。为了解决这一问题，虚拟直流电机控制被应用于直流变换器中来模拟直流电机的外特性，进而为直流微电网提供惯性支撑。但传统参数固定的虚拟直流电机控制在提供惯性的同时会牺牲系统的动态响应速度。针对这一问题，提出了参数自适应虚拟直流电机控制，并将它应用于储能端推挽式DC/DC变换器中。建立了系统的小信号模型，分析了转动惯量参数变化对系统的影响，并给出了参数的自适应调节原则。最后，搭建了仿真模型对不同控制方法进行了对比分析。仿真结果表明所提控制策略在为系统提供较大惯性支撑的同时，系统仍具有较快的动态响应速度。

Adaptive virtual DC machine control for a DC microgrid energy storage DC/DC converter

The power electronic DC microgrid lacks inertia, and when the power fluctuates, the DC bus voltage will have a large mutation, which is not conducive to its stable operation. In order to solve this problem, virtual DC motor control is applied to the DC converter to simulate the external characteristics of a DC motor, so as to provide inertia support for the DC microgrid. However, the traditional fixed parameter virtual DC motor control will sacrifice the dynamic response speed of the system while providing inertia. To solve this problem, a parameter adaptive virtual DC motor control is proposed and applied to the push-pull DC/DC converter at the energy storage unit. A small signal model of the system is established, the influence of the change of moment of inertia parameters on the system is analyzed, and the adaptive adjustment principle of parameters is given. Finally, a simulation model is built to compare and analyze different control methods. Simulation results show that the proposed control strategy not only provides large inertial support for the system, but also has fast dynamic response. This work is supported by the National Natural Science Foundation of China (No. 51877187).