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Application of Weighted Structured Total Least Squares in Identification of Power System Oscillation Modes

机译:加权结构总量的应用在电力系统振荡模式识别中的应用

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In this paper we present a novel method for estimating electromechanical modal parameters from noisy signals recorded during power system disturbances. The method is based on the weighted Structured Total Least Squares (STLS) approach for parametric signal modelling. Compared to Prony's method, the weighted version of STLS method is less sensitive to noise and trend components in recorded signal samples. It is shown through practical examples that the method displays high resolution in parameter estimation for some difficult cases with close modal frequencies, using only short signals recorded by Digital Fault Recorder.
机译:本文介绍了一种新的方法,用于估计电力系统干扰期间记录的嘈杂信号的机电模态参数。该方法基于用于参数信号建模的加权结构化总量最小二乘(STL)方法。与PRONY的方法相比,STLS方法的加权版本对记录信号样本中的噪声和趋势分量不太敏感。通过实际示例示出了该方法在参数估计中显示高分辨率,对于具有近似模态频率的一些困难情况,仅使用数字故障记录器记录的短信号。

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