标题： 将网格阻抗估计方法集成到GFL逆变器中的高级角度估计卡尔曼滤波器 显示英文标题

标题： Integrating Grid impedance estimation method into Advanced Angle Estimation Kalman Filter in GFL inverter

摘要： 随着电力电子转换器接口的分布式能源资源在现代电力系统中的日益融合，给系统监测、保护和控制带来了重大挑战。 电网阻抗在并网逆变器系统的运行和稳定性评估中起着关键作用。 本研究提出了一种基于离散傅里叶变换的实时电网阻抗估计方法。 所提出的方法与使用线性二次调节器电流控制器（AAEKF-LQR）的先进相位估计卡尔曼滤波器相结合，有助于利用阻抗信息进行准确的瞬时相位角估计。 仿真结果证实，所提出的阻抗估计方法与AAEKF-LQR控制器有效交互，在弱电网条件下保持稳定的系统性能。 该方法在电网条件运行变化期间还表现出快速且准确的阻抗估计能力，从而支持逆变器的稳定运行。 显示英文摘要

摘要： The growing integration of power electronic converter-interfaced distributed energy resources into modern power systems presents significant challenges for system monitoring, protection, and control. Grid impedance plays a critical role in the operation and stability assessment of grid-connected inverter systems. This study presents a real-time grid impedance estimation method based on the Discrete Fourier Transform. The proposed method is integrated with the Advanced Angle Estimation Kalman Filter using a Linear Quadratic Regulator current controller (AAEKF-LQR), assisting the use of impedance information for accurate instantaneous phase angle estimation. Simulation results confirm that the proposed impedance estimation method interacts effectively with the AAEKF-LQR controller, maintaining stable system performance under weak grid conditions. The approach also demonstrates the ability to deliver fast and accurate impedance estimation during operational variations in grid conditions, thereby supporting stable inverter operation.