基于多通道时频表示的强迫振荡识别与滤波
Forced Oscillation Identification and Filtering from Multi-Channel Time-Frequency Representation
摘要：
非平稳强迫振荡（FO）源的定位是一项具有挑战性的任务，特别是在与自然系统模式共振条件下的情况下，其中振荡的幅度在远离源的地方可能更大。因此，它是感兴趣的是构建一个全球的时间-频率（TF）表示（TFR）的系统，它可以捕捉到的振荡成分存在于系统中。本文提出了一种基于多通道TFR的非平稳电力系统强迫振荡频率辨识和分量滤波的系统方法。通过应用改进的岭估计算法在TF平面上识别振荡分量的频率。然后，在TF平面上对所识别的脊周围的各个TFR应用反变换函数来执行分量的滤波。这一步骤构成了用于定位FO源的耗散能流（DEF）方法的应用的初始阶段。此外，我们还比较了三种TF方法：短时傅里叶变换（STFT）、基于STFT的同步压缩变换（FSST）和二阶FSST（FSST 2）。仿真和实际运行信号表明，该方法为电力系统非平稳强迫振荡的辨识和滤波提供了一个系统框架。
英文摘要：
Location of non-stationary forced oscillation (FO) sources can be a challenging task, especially in cases under resonance condition with natural system modes, where the magnitudes of the oscillations could be greater in places far from the source. Therefore, it is of interest to construct a global time-frequency (TF) representation (TFR) of the system, which can capture the oscillatory components present in the system. In this paper we develop a systematic methodology for frequency identification and component filtering of non-stationary power system forced oscillations (FO) based on multi-channel TFR. The frequencies of the oscillatory components are identified on the TF plane by applying a modified ridge estimation algorithm. Then, filtering of the components is carried out on the TF plane applying the anti-transform functions over the individual TFRs around the identified ridges. This step constitutes an initial stage for the application of the Dissipating Energy Flow (DEF) method used to locate FO sources. Besides, we compare three TF approaches: short-time Fourier transform (STFT), STFT-based synchrosqueezing transform (FSST) and second order FSST (FSST2). Simulated signals and signals from real operation are used to show that the proposed method provides a systematic framework for identification and filtering of power systems non-stationary forced oscillations.
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