张放, 刘军, 李佳欣, 谢小荣. 基于同步相量轨迹拟合的电力系统次同步/超同步振荡的实时参数辨识[J]. 中国电机工程学报, 2023, 43(4): 1413-1425. DOI: 10.13334/j.0258-8013.pcsee.212806
引用本文: 张放, 刘军, 李佳欣, 谢小荣. 基于同步相量轨迹拟合的电力系统次同步/超同步振荡的实时参数辨识[J]. 中国电机工程学报, 2023, 43(4): 1413-1425. DOI: 10.13334/j.0258-8013.pcsee.212806
ZHANG Fang, LIU Jun, LI Jiaxin, XIE Xiaorong. Real-time Parameter Identification With Synchrophasor Trajectory Fitting Technique for Subsynchronous/Supersynchronous Oscillations in Power Systems[J]. Proceedings of the CSEE, 2023, 43(4): 1413-1425. DOI: 10.13334/j.0258-8013.pcsee.212806
Citation: ZHANG Fang, LIU Jun, LI Jiaxin, XIE Xiaorong. Real-time Parameter Identification With Synchrophasor Trajectory Fitting Technique for Subsynchronous/Supersynchronous Oscillations in Power Systems[J]. Proceedings of the CSEE, 2023, 43(4): 1413-1425. DOI: 10.13334/j.0258-8013.pcsee.212806

基于同步相量轨迹拟合的电力系统次同步/超同步振荡的实时参数辨识

Real-time Parameter Identification With Synchrophasor Trajectory Fitting Technique for Subsynchronous/Supersynchronous Oscillations in Power Systems

  • 摘要: 基于同步相量数据的次同步振荡参数辨识可有效监测次同步振荡的动态过程。该文提出一种基于同步相量轨迹拟合的电力系统次同步/超同步振荡的实时参数辨识方法。通过求解超定非线性的同步相量轨迹拟合方程组,能准确得到频移基波、次同步和超同步分量的频率、幅值和相位。该方法利用各分量对应的同步相量正负频率部分耦合而成的椭圆轨迹特性,仅依据100ms的同步相量数据序列即可进行高实时性的参数辨识。所提算法相比现有算法的优势在于,一方面可辨识与次同步分量耦合的超同步分量参数;另一方面超短数据窗大幅提升了算法实时性,并克服了频谱分析法的频率分辨率受限问题。模拟同步相量测量终端(phasor measurement unit,PMU)数据和实际仿真数据的对比分析结果表明,所提方法可准确获取基波和次同步/超同步振荡参数,并有效实现次同步振荡的动态实时监测。

     

    Abstract: The parameter identification of subsynchronous oscillation based on synchrophasors can effectively monitor the dynamics of subsynchronous oscillations. This paper proposes a real-time parameter identification method for subsynchronous/supersynchronous oscillations in power systems based on synchrophasor trajectory fitting. The frequency, amplitude, and phase of the frequency-shifted fundamental, subsynchronous, and supersynchronous components can be accurately obtained by solving the overdetermined nonlinear synchrophasor trajectory fitting equations. By utilizing the trajectory characteristics of the coupled rotation of the synchrophasor's positive and negative frequency parts corresponding to each component, this method can perform real-time parameter identification only based on the 100ms synchrophasor data sequence. Compared with the existing algorithms, the proposed method has the following advantages: on the one hand, it can identify the parameters of the supersynchronous component coupled with the subsynchronous component. On the other hand, the extra short data window greatly improves the real-time performance of the algorithm and overcomes the frequency resolution limitation of the spectrum analysis method. The comparative analysis results with simulated phasor measurement unit(PMU) data and actual simulation data show that the proposed method can accurately obtain the fundamental and subsynchronous/supersynchronous parameters and effectively realize the real-time dynamic monitoring of subsynchronous oscillations.

     

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