Multi-frequency coupled mechanism and propagation characteristics of subsynchronous oscillations induced by IBRs in power systems

Subsynchronous oscillations induced by inverter-based resources pose a significant threat to power system stability due to their wide propagation. This paper reveals a new propagation phenomenon of subsynchronous oscillations induced by inverter-based resources, characterized by multi-frequency coupling and a non-monotonic relationship between amplitude and oscillation frequency, revealing critical risks at non-resonant frequencies. To investigate this issue, the coupling mechanism and propagation characteristics of the multi-frequency coupled oscillations are analyzed. The study reveals that the multi-frequency coupling originates from the interaction between oscillation components and the synchronization control of inverter-based resources. This interaction introduces frequency coupling and generates the multiple frequency components in the instantaneous power. Furthermore, the non-monotonic characteristics is attributed to the frequency-dependent coupling impedances resulting from asymmetric interharmonic components generated by the frequency coupling. Building on this mechanism, a propagation coefficient based on instantaneous power amplitude is proposed to quantify propagation risk. Simulation results validate the proposed method, demonstrating its improved accuracy compared to existing analyses. • A novel multi-frequency coupled SSO propagation induced by IBRs is revealed. • The coupling mechanism of multi-frequency oscillation components is elucidated. • The effect of coupling impedances on non-monotonic characteristics is analyzed.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2026-01-29
DOI
https://doi.org/10.1016/j.ijepes.2026.111631
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Multi-frequency coupled mechanism and propagation characteristics of subsynchronous oscillations induced by IBRs in power systems

Yundan Cheng, Le Zheng, Yanhui Xu
International Journal of Electrical Power & Energy Systems
Microgrid Control and Optimization
article

Multi-frequency coupled mechanism and propagation characteristics of subsynchronous oscillations induced by IBRs in power systems

Yundan Cheng, Le Zheng, Yanhui Xu
article en

Abstract

Subsynchronous oscillations induced by inverter-based resources pose a significant threat to power system stability due to their wide propagation. This paper reveals a new propagation phenomenon of subsynchronous oscillations induced by inverter-based resources, characterized by multi-frequency coupling and a non-monotonic relationship between amplitude and oscillation frequency, revealing critical risks at non-resonant frequencies. To investigate this issue, the coupling mechanism and propagation characteristics of the multi-frequency coupled oscillations are analyzed. The study reveals that the multi-frequency coupling originates from the interaction between oscillation components and the synchronization control of inverter-based resources. This interaction introduces frequency coupling and generates the multiple frequency components in the instantaneous power. Furthermore, the non-monotonic characteristics is attributed to the frequency-dependent coupling impedances resulting from asymmetric interharmonic components generated by the frequency coupling. Building on this mechanism, a propagation coefficient based on instantaneous power amplitude is proposed to quantify propagation risk. Simulation results validate the proposed method, demonstrating its improved accuracy compared to existing analyses. • A novel multi-frequency coupled SSO propagation induced by IBRs is revealed. • The coupling mechanism of multi-frequency oscillation components is elucidated. • The effect of coupling impedances on non-monotonic characteristics is analyzed.

International Journal of Electrical Power & Energy SystemsVol. 175
North China Electric Power University (CN)
Openalex Percentile: Top 75%
Microgrid Control and Optimization
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