DocumentCode
3299159
Title
Enhanced wavelet-based method for modal identification from power system ringdowns
Author
Rueda, Jose L. ; Erlich, Istvan
Author_Institution
Inst. of Electr. Power Syst., Univ. Duisburg-Essen, Duisburg, Germany
fYear
2011
fDate
19-23 June 2011
Firstpage
1
Lastpage
8
Abstract
In this paper, a method to the analysis of low-frequency electromechanical oscillations (LFEOs) based on continuous wavelet transform (CWT) is presented. The complex Morlet CWT is employed to decouple power system ringdown signals into single oscillatory modes (OMs) in order to estimate their frequencies, damping ratios, relative amplitudes and phase shifts as well as to detect nonstationarities. End-effects of CWT may cause inaccurate estimation of relative amplitudes and phase shifts. To make up for this drawback, an optimization problem is formulated in a least-square sense. The method is applied to synthetic and simulated ringdown signals and results are contrasted to results from Prony analysis.
Keywords
amplitude estimation; damping; electromechanical effects; frequency estimation; least squares approximations; optimisation; oscillations; power system identification; wavelet transforms; LFEO analysis; Morlet CWT; continuous wavelet transform; damping ratios; frequency estimation; least squares method; low-frequency electromechanical oscillation analysis; modal identification; optimization problem; oscillatory mode; phase shifts; power system ringdown signal; relative amplitude estimation; Accuracy; Continuous wavelet transforms; Damping; Frequency estimation; Optimization; Power system stability; Modal identification; continuous wavelet transform; optimization; power system ringdowns; small signal stability;
fLanguage
English
Publisher
ieee
Conference_Titel
PowerTech, 2011 IEEE Trondheim
Conference_Location
Trondheim
Print_ISBN
978-1-4244-8419-5
Electronic_ISBN
978-1-4244-8417-1
Type
conf
DOI
10.1109/PTC.2011.6019242
Filename
6019242
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