Data-Light Oscillation Mode Identification for Fast Stability Assessment of Grid-Tied Converters

Rui Kong*, Subham Sahoo, Shuyu Ou, Xiangyu Meng, Guoqing Gao, Frede Blaabjerg

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

28 Downloads (Pure)

Abstract

Dynamic mode decomposition (DMD) is an effective data-driven oscillation mode identification method for instability identification in grid-tied converters. However, time-consuming computation and empirical setting of parameters limit its practical application in rapid stability assessment. This article introduces data-light dynamic mode decomposition (DL-DMD) by integrating the conventional dynamic mode decomposition (DMD) algorithm with harmonic state space theory, which significantly improves computational speed while providing a bandwidth-oriented interpretation for parameter selection in correspondence with the identifiable frequency range of modes. The effectiveness and advantages of the proposed method are verified through offline analysis and online tests based on an experimental platform.

Original languageEnglish
Article number10946229
JournalI E E E Transactions on Power Electronics
Volume40
Issue number8
Pages (from-to)11170 - 11181
Number of pages12
ISSN0885-8993
DOIs
Publication statusPublished - 31 Mar 2025

Bibliographical note

Publisher Copyright:
© 1986-2012 IEEE.

Keywords

  • Dynamic Mode Decomposition
  • Grid-tied converter
  • Harmonic State Space
  • Oscillation modes
  • Stability assessment
  • oscillation mode identification
  • grid-tied converter
  • Dynamic mode decomposition (DMD)
  • harmonic state space (HSS)

Fingerprint

Dive into the research topics of 'Data-Light Oscillation Mode Identification for Fast Stability Assessment of Grid-Tied Converters'. Together they form a unique fingerprint.

Cite this