IDENTIFICATION OF SUB-SYNCHRONOUS OSCILLATION MODES OF WIND POWER GRID-CONNECTED SYSTEM BASED ON SMSST-CDSSI

Wang Changjiang; Dai Xiaoxiao; Liu Bohan; Zhou Qinyong; Jiang Yilang; Wang Qing

doi:10.19912/j.0254-0096.tynxb.2024-2216

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (4) : 350-359. DOI: 10.19912/j.0254-0096.tynxb.2024-2216

IDENTIFICATION OF SUB-SYNCHRONOUS OSCILLATION MODES OF WIND POWER GRID-CONNECTED SYSTEM BASED ON SMSST-CDSSI

Wang Changjiang¹, Dai Xiaoxiao¹, Liu Bohan¹, Zhou Qinyong², Jiang Yilang², Wang Qing³

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Abstract

The increasing integration of large-scale wind power into the grid poses risks of sub-synchronous oscillation （SSO）, posing a significant threat to the stable operation of the power system. This paper proposes a novel SSO identification methodology integrating second-order multi-synchrosqueezing transform （SMSST） with combined deterministic-stochastic subspace identification （CDSSI） to achieve precise parameter extraction in wind-integrated power systems. Firstly, to accurately track the nonlinear and time-varying characteristics of SSO signals, SMSST is employed to decompose the SSO signal and construct a time-frequency coefficient matrix, enhancing the energy concentration in the time-frequency domain. Then, ridge extraction method is applied in the time-frequency domain to perform optimal time-frequency trajectory searching for each SSO mode. Using the optimal time-frequency trajectory, the time-domain SSO components of each oscillation mode are reconstructed. Subsequently, the CDSSI method is utilized to identify the oscillatory characteristic parameters of the SSO signal, such as frequency and damping ratio. Finally, the effectiveness and accuracy of the proposed method are validated through synthetic SSO signals, simulation signals from a wind power integrated system, and monitoring data of actual system SSO events.

Key words

power system / wind turbines / parameter identification / sub-synchronous oscillation / second order multi-synchrosqueezing transform / combined deterministic-stochastic subspace identification

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Wang Changjiang, Dai Xiaoxiao, Liu Bohan, Zhou Qinyong, Jiang Yilang, Wang Qing. IDENTIFICATION OF SUB-SYNCHRONOUS OSCILLATION MODES OF WIND POWER GRID-CONNECTED SYSTEM BASED ON SMSST-CDSSI[J]. Acta Energiae Solaris Sinica. 2026, 47(4): 350-359 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2216

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