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Wavelet-based method for detection of electrical and electromechanical oscillations in synchronous generators

机译：基于小波的同步发电机电气和机电振动检测方法

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摘要

This paper proposes a real-time wavelet-based method to detect both high-frequency electrical oscillations and low-frequency electromechanical oscillations in synchronous generators of salient poles during faults on the grid. By using the discrete wavelet transform, the spectral energy of a time-domain signal is decomposed in scaling coefficient energy and wavelet coefficient energy. Using the active power of the synchronous generator, the wavelet coefficient energy of a compact mother wavelet can provide the fault detection with no time delay, whereas the scaling coefficient energy can provide the low-frequency electromechanical oscillations. The performance of the proposed method was assessed in an experimental power system, and various mother wavelets were evaluated.
机译：本文提出了一种基于小波的实时方法来检测电网故障时凸极同步发电机中的高频电振荡和低频机电振荡。通过使用离散小波变换，将时域信号的频谱能量分解为缩放系数能量和小波系数能量。利用同步发电机的有功功率，紧凑的子小波的小波系数能量可以提供无时间延迟的故障检测，而缩放系数的能量可以提供低频机电振荡。在实验电源系统中评估了该方法的性能，并评估了各种小波母。

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