DocumentCode
1186377
Title
Wavelet-Based Scheme for Detection of Torsional Oscillation
Author
Lin, Xingqin ; Zhang, Haijun ; Liu, Peng ; Malik, O. P.
Author_Institution
Huazhong University of Science and Technology; University of Calgary
Volume
22
Issue
8
fYear
2002
Firstpage
66
Lastpage
66
Abstract
A new scheme for torsional oscillation detection is proposed. The scheme is based on the biorthogonal wavelet transform (WT) and complex WT. The first step of the method is to design a biorthogonal low-pass filter, which filters the high order harmonics. A complex wavelet is then used to extract the oscillation feature from the remnant signal. The effectiveness of the proposed scheme is verified with mathematical and simulation models. Furthermore, as the Mallat algorithm and the recursive computation method are used for the proposed scheme, it is easy to be implemented for real-time applications.
Keywords
Artificial neural networks; Harmonic distortion; Low pass filters; Neural networks; Power system analysis computing; Power system harmonics; Power system measurements; Power system modeling; Power system simulation; Pricing; Biorthogonal wavelet; complex wavelet; multiresolution analysis; torsional oscillation;
fLanguage
English
Journal_Title
Power Engineering Review, IEEE
Publisher
ieee
ISSN
0272-1724
Type
jour
DOI
10.1109/MPER.2002.4312496
Filename
4312496
Link To Document