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
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;
Journal_Title :
Power Engineering Review, IEEE
DOI :
10.1109/MPER.2002.4312496