Robust Residual Compensation Control for Disturbance Suppression to Enhance Performance of Grid‐Forming Inverter

ABSTRACT Grid‐forming (GFM) inverter has been proposed as a practical solution for improving the stability and resilience of modern power systems. However, the GFM inverter exhibits low inertia characteristic and is susceptible to external disturbance and uncertainty. Motivated by this, this paper presents a residual compensation control strategy to improve the performance of the GFM inverter. To address the impact of measurement noise with outliers on state estimation and residual generation, the Huber function is employed as a cost function in the design of a robust Kalman filter‐based residual generator. Subsequently, a robust residual compensation controller is developed to achieve effective disturbance suppression. The generalized system model of the GFM inverter is established based on the model matching theory. Two algebraic Riccati equations corresponding to the full‐information system and output feedback system are then formulated based on the generalized model to facilitate the solution of the robust residual compensation controller. Simulation and experiment results demonstrate that the robust Kalman filter‐based residual generator and the robust residual compensation controller, as presented, effectively suppress measurement noise and load‐side disturbance, thereby improving the performance of the GFM inverter.