By Topic

Wavelet based scheme for detection of torsional oscillation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Xiangning Lin ; Dept. of Electr. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Hao Zhang ; Pei Liu ; Malik, O.P.

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.

Published in:

Power Systems, IEEE Transactions on  (Volume:17 ,  Issue: 4 )