Dynamic Mode Identification and Frequency Stability Enhancement for Grid-Forming Converters

Grid-forming (GFM) converters are expected to mitigate frequency variations and oscillations during grid contingencies. However, generic damping design of GFM converters cannot ensure frequency stability of power systems with spatial-temporal uncertainties. In this paper, the dynamic mode decomposition (DMD) method is introduced to extract frequency-domain dynamic modes from the time-domain frequency response of GFM converters during grid events. Even without access to detailed system configuration, dynamic modes enable GFM converters to assess frequency stability in a data-driven manner. This paper also proposes a damping enhancement method tailored for those critical modes with insufficient stability margin. The narrow band damping power introduced by a bandpass filter compensates for the damping of critical modes and mitigates both power and frequency oscillations.

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Publication Details

Published
2025-12-07
DOI
https://doi.org/10.1109/etfg61999.2025.11401098
Primary Topic
Microgrid Control and Optimization
Type
article
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Dynamic Mode Identification and Frequency Stability Enhancement for Grid-Forming Converters

Rui Kong, Ye Zhu, Shan Jiang, Frede Blaabjerg et al.
Microgrid Control and Optimization
article

Dynamic Mode Identification and Frequency Stability Enhancement for Grid-Forming Converters

Rui Kong, Ye Zhu, Shan Jiang, Frede Blaabjerg, Georgios Konstantinou
article en

Abstract

Grid-forming (GFM) converters are expected to mitigate frequency variations and oscillations during grid contingencies. However, generic damping design of GFM converters cannot ensure frequency stability of power systems with spatial-temporal uncertainties. In this paper, the dynamic mode decomposition (DMD) method is introduced to extract frequency-domain dynamic modes from the time-domain frequency response of GFM converters during grid events. Even without access to detailed system configuration, dynamic modes enable GFM converters to assess frequency stability in a data-driven manner. This paper also proposes a damping enhancement method tailored for those critical modes with insufficient stability margin. The narrow band damping power introduced by a bandpass filter compensates for the damping of critical modes and mitigates both power and frequency oscillations.

UNSW Sydney (AU), Aalborg University (DK)
Affordable and clean energy
Openalex Percentile: Top 28%
Microgrid Control and Optimization
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