DocumentCode :
3238467
Title :
A New Advanced Hybrid Analysis Method in Power Systems Disturbances
Author :
Borras, Dolores ; Bravo, Juan Carlos ; Montano, Juan Carlos ; Castilla, Manuel ; Lopez, Antonio ; Gutierrez, Jaime
Author_Institution :
Dipt. Ing. Electr., Escuela Univ. Politec., Sevilla
fYear :
2005
fDate :
5-7 Sept. 2005
Firstpage :
507
Lastpage :
512
Abstract :
In the past the Fourier transform usually has been used for analysis of non-stationary signals, if interested in what the spectral components exist in the signal, and not interested where they occur. However, if this information is needed, i.e., if we want to know in order to analyze the transients, which spectral component occur at what interval of time, then Fourier transform is not the right transform to use. When the time localization of the spectral components is needed, the wavelet transform (WT) gives the optimal time-frequency representation of the signal. As well as the fast Fourier transform, the WT is an advanced mathematical tool for the analysis of power system disturbances. In this paper, a new method of the combined wavelet-Fourier transform has been proposed. With the method, disturbances are detected, analysed, and compacted. Finally the results of an experimental research have been shown and commented on.
Keywords :
fast Fourier transforms; power system analysis computing; power system faults; wavelet transforms; fast Fourier transform; hybrid analysis method; nonstationary signals; optimal time-frequency representation; power system disturbances; spectral component; time localization; transient analysis; wavelet transform; wavelet-Fourier transform; Fast Fourier transforms; Fourier transforms; Hybrid power systems; Information analysis; Power system analysis computing; Power system transients; Signal analysis; Time frequency analysis; Transient analysis; Wavelet transforms; Fourier Transform; Power quality; Wavelets; harmonic distortion; signal processing; transients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005. IDAACS 2005. IEEE
Conference_Location :
Sofia
Print_ISBN :
0-7803-9445-3
Electronic_ISBN :
0-7803-9446-1
Type :
conf
DOI :
10.1109/IDAACS.2005.283035
Filename :
4062186
Link To Document :
بازگشت