基于SMSST-CDSSI的风电并网系统次同步振荡模式辨识

王长江; 代笑笑; 刘博涵; 周勤勇; 姜懿郞; 王庆

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

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (4) : 350-359. DOI: 10.19912/j.0254-0096.tynxb.2024-2216

基于SMSST-CDSSI的风电并网系统次同步振荡模式辨识

王长江¹, 代笑笑¹, 刘博涵¹, 周勤勇², 姜懿郞², 王庆³

作者信息 +

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

Author information +

文章历史 +

摘要

为实现风电并网系统次同步振荡（SSO）特征参数的精确辨识,该文提出一种基于二阶多重同步压缩变换（SMSST）和组合确定性随机子空间（CDSSI）结合的SSO辨识方法。首先,为准确追踪SSO信号的非线性时变特性,利用SMSST对SSO信号进行分解并构建时频系数矩阵,以提升信号的时频能量聚集能力;然后,在时频域中采用脊线提取方法对各振荡模式进行最佳时频轨迹搜索,借助最佳时频轨迹重构各振荡分量的时域SSO分量;进一步,利用CDSSI方法辨识SSO信号的频率和阻尼比等振荡特征参数;最后,通过自合成SSO信号、风电并网系统算例仿真信号和实际系统SSO的监测数据验证了所提方法的有效性与准确性。

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.

导出引用

王长江, 代笑笑, 刘博涵, 周勤勇, 姜懿郞, 王庆. 基于SMSST-CDSSI的风电并网系统次同步振荡模式辨识[J]. 太阳能学报. 2026, 47(4): 350-359 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2216

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

中图分类号： TM712

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