T24.5 - A Gray-Box Stability Analysis Mechanism for Power Electronic Converters

This digest proposes a gray-box stability analysis mechanism based on data-driven dynamic mode decomposition (DMD) for commercial grid-tied power electronics converters with limited information on control parameters and topology. By fusing the underlying physical constraint of state equations into data snapshots, the system dynamic state matrix and input matrix are simultaneously approximated to identify the dominant system dynamic modes and eigenvalues through the DMD with control (DMDc) algorithm. While retaining the advantages of eliminating the need for internal controller information, the proposed gray-box method achieves higher accuracy and interpretability than the conventional DMD method. The findings of this work are generic but verified in a low-frequency oscillation scenario of a single-phase converter in electrified railways under experimental conditions.