Title :
Wavelet based scheme for detection of torsional oscillation
Author :
Lin, Xiangning ; Zhang, Hao ; Liu, Pei ; Malik, O.P.
Author_Institution :
Dept. of Electr. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fDate :
11/1/2002 12:00:00 AM
Abstract :
A new scheme for torsional oscillation detection is proposed in this paper. The scheme is based on the bi-orthogonal wavelet transform (WT) and complex WT. The first step of the method is to design a bi-orthogonal 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 implement for real-time applications.
Keywords :
low-pass filters; oscillations; power system stability; torsion; wavelet transforms; Mallat algorithm; bi-orthogonal low pass filter; bi-orthogonal wavelet transform; high order harmonics; multiresolution analysis; recursive computation method; remnant signal; torsional damage; torsional oscillation detection; turbine generators; wavelet based scheme; Computational modeling; Design methodology; Feature extraction; Frequency; Low pass filters; Power harmonic filters; Signal analysis; Signal processing; Wavelet analysis; Wavelet transforms;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2002.804962