一种用于风力发电机组构网控制的新型优化参数整定算法以抑制功率振荡

As the transition from synchronous generators (SGs) to renewable energy sources (RESs) accelerates, grid forming wind turbines (GFM-WTs) are increasingly expected to play a critical role in maintaining power system stability. However, the integration of GFM without thoroughly considering the interaction between the outer and inner control loops can induce power oscillations. Therefore, this paper offers a systematic sensitivity analysis to explicitly reveal how the control parameters contribute to power oscillations in the GFM-WT system. This analysis is based on a linearized state-space model for the GFM-WT system, incorporating comprehensive system dynamics and control strategies. Furthermore, an optimized control algorithm is developed based on a comprehensive small-signal model, incorporating essential constraints such as the eigenvalue damping ratio and the control loop bandwidth. The algorithm autonomously tunes the control parameters of both the inner and outer loop systems, resulting in optimal parameter values. A comprehensive stability analysis was conducted to validate the effectiveness of the proposed algorithm in ensuring system stability. The proposed method is verified through various scenario in modified WSCC 9-bus and New England 39-bus systems. Simulation results indicate that the proposed algorithm effectively mitigates power oscillations in the WT output, subsequently reducing power oscillations in the SG.