A wavelet-aided approach to visualizing power system harmonic trends is proposed in this paper. With time-frequency localization characteristics embedded in wavelets, the time and frequency information of a waveform can be presented as a visualized scheme. Different from the fast Fourier transform, the proposed method is more efficient in monitoring harmonic dynamics. The proposed method has been tested on an arc furnace and electric drives. Test results demonstrate the practicality and advantages of the method.
|Number of pages||7|
|Journal||Proceedings of the National Science Council, Republic of China, Part A: Physical Science and Engineering|
|Publication status||Published - 1998 Jul 1|
All Science Journal Classification (ASJC) codes