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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基于识别低频振荡的方法,用于使用同步相位测量的低频振荡

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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:本文提出了一种基于噪声空间分解(NSD)的方法,用于识别电力系统中的低频振荡。所提出的方法使用中值滤波器来减少估计模式的方差。用于估计模式的信号是从游戏测量单元(PMU)获得的功率信号。在不同噪声水平的测试信号上将具有所提出的方法的结果与提出的掌上的方法进行了比较。使用该方法的2区系统还已经在2区域系统上进行了估计。

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