Direct-Drive Wind Farm Parameter Tuning for Generator Interaction Stability

The patent segments the wind farm system into individual generator units and analyzes their interactions separately. By decomposing the overall system into constituent generators and examining their coupling relationships, the method achieves accurate stability evaluation while managing complexity through structured analysis of individual components and their interactions.

The patent introduces an impedance-based interaction assessment mechanism as an intermediary tool. This intermediary approach quantifies the coupling relationships between generators without requiring full-system complex analysis, enabling accurate stability evaluation through a simplified yet effective assessment framework.

The patent performs preliminary assessment of generator interactions using impedance-based methods before conducting parameter tuning. By evaluating the coupling relationships in advance, the tuning process can be simplified while maintaining stability, as the preliminary interaction assessment provides guidance for appropriate parameter adjustments without requiring complex iterative analysis.

The patent adjusts control parameters based on the assessed interaction characteristics. By changing parameters according to the preliminary interaction evaluation, the method achieves simplified tuning procedures that maintain system stability, as parameter adjustments are guided by the interaction assessment rather than requiring complex real-time analysis.

The patent replaces complex dynamic stability analysis with an impedance-based assessment method. By substituting the traditional mechanical/dynamic analysis approach with an impedance-based evaluation, the method achieves fast real-time assessment while reducing calculation complexity, as impedance calculations are computationally simpler than full dynamic stability analysis.

The patent changes the evaluation approach from time-domain dynamic analysis to frequency-domain impedance assessment. This parameter change in the analysis methodology enables real-time stability evaluation with reduced computational burden, as impedance-based methods require less computational resources compared to full dynamic simulations.