Continuous wavelet transform based analysis of low frequency oscillation in power system

M. J. Rana, M. Alam, M. Islam
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引用次数: 9

Abstract

Low frequency oscillation is a threat to the stability of interconnected power system. Proper identification of the low frequency oscillation is crucial. In this work continuous wavelet transform (CWT) with complex morlet wavelet is used to extract modal information of the power system oscillations. The modal information of the measured signal such as frequency and damping is determined from the magnitude and phase plot of the complex valued wavelet coefficients. The proposed technique is applied to the measured signal of a two area power system to detect inter area mode of oscillation and results are compared with Eigenvalue analysis method.
基于连续小波变换的电力系统低频振荡分析
低频振荡对互联电力系统的稳定性构成威胁。正确识别低频振荡是至关重要的。本文将连续小波变换与复morlet小波变换相结合,提取电力系统振动的模态信息。由复值小波系数的幅值和相位图确定被测信号的频率和阻尼等模态信息。将该方法应用于两区域电力系统的实测信号中,检测区域间振荡模式,并与特征值分析方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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