发表机构
Innovation Center of the School of Electrical Engineering in Belgrade; University of Padova; Chalmers University of Technology（贝尔格莱德电气工程学院创新中心; 帕多瓦大学; 查尔姆斯理工大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种基于内模控制的虚拟导纳方法，考虑内环和电压前馈影响，使端子导纳精确匹配目标，消除谐波不稳定，并实验验证。
AI 中文摘要
可再生能源大规模并入电力系统，使得系统日益依赖构网型变换器（GFMs）来克服关键稳定性和控制难题。通过模拟可调电阻-电感阻抗后方的缓慢变化电压源，GFMs能够实现精确的设定点跟踪和重要的电网支撑。在此方面，基于虚拟导纳（VA）的内环控制为塑造变换器在连接端子处的小信号导抗提供了非凡的灵活性，从而支持先进的GFM功能。本文提出了一种新颖的基于内模控制的虚拟导纳方法，该方法固有地考虑了内电流控制环和电压前馈的影响。与最先进的VA控制不同，所提出的VA控制确保在不受外环影响的频率下，变换器的端子导纳紧密匹配目标导纳，这被证明对稳定性至关重要。研究揭示了在最先进的VA控制下，如果电压前馈使用高截止频率的低通滤波器，谐波范围内可能出现小信号不稳定。然而，所提出的VA控制无论该截止频率如何均能确保稳定运行。该方法通过采用三相电压源变换器的实验室样机进行了实验验证。
英文摘要
The large-scale integration of renewable energy into electrical power systems places a growing reliance on grid-forming converters (GFMs) to overcome critical stability and control hurdles. By emulating a slowly varying voltage source behind a tunable resistive?inductive impedance, GFMs enable precise setpoint tracking and vital grid support. In this regard, virtual admittance (VA)-based inner-loop control provides exceptional flexibility in shaping the converter's small-signal immittance at connection terminals, allowing for advanced GFM functionalities. This article addresses a novel internal-model-control-based VA approach, which inherently accounts for the effects of the inner current-control loop and the voltage feedforward. Unlike the state-of-the-art VA control, the proposed VA control ensures that, at frequencies outside the influence of outer loops, the converter's terminal admittance closely matches the target admittance, which is shown to be relevant for stability. It is revealed how, with the state-of-the art VA control, a small-signal instability in the harmonic range may arise if a low-pass filter with a high cut-off frequency is used for the voltage feedforward. However, the proposed VA control ensures stable operation regardless of this cut-off frequency. The methodology is experimentally validated using a laboratory prototype that features three-phase voltage-source converters.
