Removal of Nuisance Signals in Electric Grid Disturbance Data

R. Zivanovic
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引用次数: 0

Abstract

An iterative algorithm for filtering out nuisance signals in recorded fault and disturbance data is presented. The intended application of the algorithm is removal of transient signal components (due to instrument transformers and network transient processes) as well as interharmonics in short-duration digital records of voltage and current signals. Output of the algorithm is a system frequency dynamic phasor which can be used in the automated disturbance data analysis in power systems. Commonly used, the Fourier transform based signal processing algorithms are not able to efficiently filter such components. Due to short lengths of recorded signals, frequency resolution of the Fourier transform based algorithms is not sufficient for this application. To demonstrate practicality and accuracy of the proposed algorithm several simulation experiments are devised and results are presented in the paper.
电网扰动数据中有害信号的去除
提出了一种从记录的故障和扰动数据中滤波干扰信号的迭代算法。该算法的预期应用是去除暂态信号成分(由于仪表变压器和网络暂态过程)以及电压和电流信号的短持续时间数字记录中的间谐波。该算法的输出为系统频率动态相量,可用于电力系统扰动数据的自动分析。常用的基于傅里叶变换的信号处理算法不能有效地过滤这类分量。由于记录信号的长度很短,基于傅里叶变换的算法的频率分辨率不足以用于此应用。为了证明该算法的实用性和准确性,设计了几个仿真实验,并给出了实验结果。
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