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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 language | English |
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Article number | 10946229 |
Journal | I E E E Transactions on Power Electronics |
Volume | 40 |
Issue number | 8 |
Pages (from-to) | 11170 - 11181 |
Number of pages | 12 |
ISSN | 0885-8993 |
DOIs | |
Publication status | Published - 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)
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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.Projects
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Modeling, Analysis and Suppression of Wide band Instability in Large Scale Power Systems with Single Phase and Three Phase VSCs
Kong, R. (PI), Blaabjerg, F. (Supervisor) & Sahoo, S. (Supervisor)
01/03/2023 → 28/02/2026
Project: PhD Project