Time-Varying Sub-Synchronous Oscillation Mitigation Strategy for Dfig Wind Farms Based on Adaptive Notch Filter

This paper proposes an adaptive notch filtering-based strategy for mitigating time-varying sub-synchronous oscillations in DFIG systems. Building upon the framework of wideband monitoring systems, the proposed method implements secondary dynamic data storage to enable real-time sub-synchronous oscillation mode identification through the ESPRIT algorithm. By analysis dynamic damping ratios from ESPRIT and amplititude of SSO mode, a two-layer discriminant mechanism is developed to determine the optimal activation timing of adaptive notch filters. Furthermore, the filter parameters are dynamically adjusted based on the identified frequency characteristics. Comprehensive feasibility validation is conducted through numerically simulated SSCI and SSR cases. Simulation results demonstrate that the proposed approach achieves rapid and accurate suppression of time-varying sub-synchronous oscillations. This research provides novel insights for the design of adaptive SSCI mitigation strategies and offers optimization directions for the practical implementation of wide-area monitoring systems in power networks.

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