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

Volume

17

Issue

4

fYear

2002

fDate

11/1/2002 12:00:00 AM

Firstpage

1096

Lastpage

1101

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;

fLanguage

English

Journal_Title

Power Systems, IEEE Transactions on

Publisher

ieee

ISSN

0885-8950

Type

jour

DOI

10.1109/TPWRS.2002.804962

Filename

1137599