Power Quality Analysis Using Frequency Domain Smooth - Windowed Wigner - Ville Distribution

Abdullah, Abdul Rahim and Mohd Said, Nurul Ain and Sha'ameri, Ahmad Zuri and Ali, Fara Ashikin (2011) Power Quality Analysis Using Frequency Domain Smooth - Windowed Wigner - Ville Distribution. In: 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011 , 16-18 November 2011, Kuala Lumpur. (Submitted)

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Power quality has become a great concern to all electricity consumers. Poor power quality can cause equipment failure, data and economical losses. An automated monitoring system is needed to ensure signal quality, reduce diagnostic time and rectify failures. This paper presents the analysis of power quality signals using frequency domain smooth-windowed Wigner-Ville distribution (FDSWWVD). The power quality signals focused are swell, sag, interruption, harmonic, interharmonic and transient based on IEEE Std. 1159-2009. The TFD represents signal jointly in time-frequency representation (TFR) with good frequency and time resolution. Thus, it is very appropriate to analyze the signals that consist of multi-frequency components and magnitude variations. However, there is no fixed kernel of the TFD can be used to remove cross-terms for all types of signals. A set of performance measures is defined and used to compare the TFRs to identify and verify the TFD that operated at optimal kernel parameters. The result shows that FDSWWVD offers good performance of TFR and appropriate for power quality analysis.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Electric power systems -- Testing, Power resources, Electric power system stability, Electric power systems -- Quality control
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electrical Engineering
Depositing User: Users 4097 not found.
Date Deposited: 14 Dec 2017 08:11
Last Modified: 14 Dec 2017 08:11
URI: http://eprints.utem.edu.my/id/eprint/20155
Statistic Details: View Download Statistic

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