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A noise space decomposition based method for identifying low frequency oscillations using synchro-phasor measurements

机译:基于噪声空间分解的利用同步相量测量识别低频振荡的方法

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This paper proposes a method based on noise space decomposition (NSD) for the identification of low frequency oscillations in power systems. The proposed method uses a median filter to reduce the variance of the estimated modes. The signal utilized for estimating the modes is the power signal obtained from phasor measurement units (PMUs). The results with the proposed method has been compared with an improved Prony based method on a test signal at different noise levels. Estimation of modes has also been carried out on a 2-area system using the proposed method.
机译:提出了一种基于噪声空间分解(NSD)的电力系统低频振荡识别方法。所提出的方法使用中值滤波器来减小估计模式的方差。用于估计模式的信号是从相量测量单元(PMU)获得的功率信号。所提出的方法的结果已经与改进的基于Prony的方法在不同噪声水平下的测试信号进行了比较。使用所提出的方法,还已经在2区域系统上进行了模式估计。

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