Time-Varying Sub-Synchronous Oscillation Mitigation in DFIG Wind Farms via Dual-Layer Adaptive Band-Pass Filtering

This paper proposes a sub-synchronous oscillation (SSO) suppression strategy based on a Dual-layer Adaptive Band-Pass Filter (DL-ABPF). In the proposed scheme, the outer-layer filter (ABPFout) is employed for modal separation and monitoring, while the inner-layer filter (ABPFin) is activated once dual discriminant criteria are satisfied, thereby enabling real-time targeted suppression. Operating under a wide-area monitoring framework, the method utilizes secondary dynamic data storage combined with the ESPRIT algorithm to achieve online identification of the target modal frequency and damping factor. When the criteria are met, the center frequency of ABPFin is adaptively updated, and its output is fed back into the converter controller through a damping channel, forming a closed-loop process of “monitoring-discrimination-suppression.” Case studies on both SSCI and SSR scenarios, conducted in MATLAB/Simulink, demonstrate that the proposed strategy maintains real-time tracking and effective mitigation of target modes under frequency drifts and varying operating conditions, thereby significantly enhancing the robustness and universality of oscillation suppression. Compared with conventional singlelayer filtering approaches, this work, for the first time, unifies monitoring and suppression within a dual-layer structure, providing an innovative framework for the dynamic prevention and control of sub-synchronous oscillations.

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