次同步振荡的频率切片小波变换检测方法
发布时间：2018-12-10 18:20
【摘要】：针对现有的电力系统次同步振荡的检测方法存在对噪声敏感、振荡的特征和变化趋势难以获得的局限性,提出将频率切片小波变换(FSWT)方法应用于次同步振荡的分析和参数辨识。FSWT方法自由切割时频面,实现信号频率区间的灵活分割,可以实现对次同步振荡信号的总体和细化分析。首先,采用FSWT方法对含噪的次同步振荡信号进行总体时频分析,得到其时频能量分布。根据时频能量分布,可以预判是否发生次同步振荡、确定模态分量的数量及其频率分布区间。然后,合理选择频率切片区间,进行细化特征分析,通过对信号特征频率切片区间信号的重构,实现了次同步振荡的模态分量的分离及提取。最后,结合Hilbert变换获得高准确度的次同步振荡模态参数。
[Abstract]:The existing detection methods for subsynchronous oscillation in power system have the limitation of being sensitive to noise and difficult to obtain the characteristics and trends of oscillation. The frequency slice wavelet transform (FSWT) method is applied to the analysis and parameter identification of subsynchronous oscillation. The FSWT method can cut the time-frequency surface freely and realize the flexible division of the frequency range of the signal. The overall and detailed analysis of sub-synchronous oscillation signal can be realized. Firstly, the FSWT method is used to analyze the total time-frequency of the noisy sub-synchronous oscillation signal, and the time-frequency energy distribution is obtained. According to the time-frequency energy distribution, the sub-synchronous oscillation can be predicted, and the number of modal components and the frequency distribution range can be determined. Then, the frequency slice interval is selected reasonably, and the characteristic analysis is carried out. Through the reconstruction of the signal characteristic frequency slice interval signal, the mode components of sub-synchronous oscillation are separated and extracted. Finally, the high accuracy subsynchronous oscillation modal parameters are obtained by using Hilbert transform.
【作者单位】： 东北电力大学输变电技术学院;哈尔滨工业大学电气工程及自动化学院;
【基金】：国家自然科学基金(51577023) 东北电力大学博士科研启动基金(BSJXM-2016240)资助项目
【分类号】：TM712
[Abstract]:The existing detection methods for subsynchronous oscillation in power system have the limitation of being sensitive to noise and difficult to obtain the characteristics and trends of oscillation. The frequency slice wavelet transform (FSWT) method is applied to the analysis and parameter identification of subsynchronous oscillation. The FSWT method can cut the time-frequency surface freely and realize the flexible division of the frequency range of the signal. The overall and detailed analysis of sub-synchronous oscillation signal can be realized. Firstly, the FSWT method is used to analyze the total time-frequency of the noisy sub-synchronous oscillation signal, and the time-frequency energy distribution is obtained. According to the time-frequency energy distribution, the sub-synchronous oscillation can be predicted, and the number of modal components and the frequency distribution range can be determined. Then, the frequency slice interval is selected reasonably, and the characteristic analysis is carried out. Through the reconstruction of the signal characteristic frequency slice interval signal, the mode components of sub-synchronous oscillation are separated and extracted. Finally, the high accuracy subsynchronous oscillation modal parameters are obtained by using Hilbert transform.
【作者单位】： 东北电力大学输变电技术学院;哈尔滨工业大学电气工程及自动化学院;
【基金】：国家自然科学基金(51577023) 东北电力大学博士科研启动基金(BSJXM-2016240)资助项目
【分类号】：TM712
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