A Novel Time-Frequency Analysis for Power System Waveforms Based on "Pseudo-Wavelets" Conference Paper

abstract

• 2018 IEEE. A novel multiresolution time-frequency analysis method for power system waveforms is proposed. Inspired by wavelet transform, which is widely used in time-frequency analysis of signal to achieve high resolution in both time and frequency domains, the proposed method uses 'pseudo-wavelets' and performs similar procedures to calculate the correlations between scaled 'pseudo-wavelets' and input signal, revealing the detailed energy distribution of input signal on a wide frequency range throughout the entire data window length. Both mathematical derivation and simulations show that the proposed method is capable of frequency tracking and disturbance detection. By extracting the features of proposed transform on typical power system signals, disturbance classification is also made possible.

name of conference

• 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

authors

• Kezunovic, Mladen

published proceedings

• 2018 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION (T&D)

author list (cited authors)

• Qian, C., & Kezunovic, M.

citation count

• 0

complete list of authors

• Qian, Cheng||Kezunovic, Mladen

publication date

• April 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference  Journal

keywords

• Nlultiresolution Analysis
• Power System Disturbance
• Power System Measurements
• Time-frequency Analysis
• Wavelet Transform

Digital Object Identifier (DOI)

• 10.1109/tdc.2018.8440353

International Standard Book Number (ISBN) 13

• 9781538655832

start page

• 1

end page

• 9

volume

• 00

URL

• http://dx.doi.org/10.1109/tdc.2018.8440353