A New Perspective for the IEEE Standard 1459-2000 Via Stationary Wavelet Transform in the Presence of Nonstationary Power Quality Disturbance

Power components, power factors, and pollution factor are defined according to the IEEE standard 1459-2000 based on the fast Fourier transform (FFT). However, the FFT in the presence of nonstationary power quality (PQ) disturbances results in inaccurate values due to its sensitivity to the spectral...

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Bibliographic Details
Published in:IEEE transactions on power delivery 2008-10, Vol.23 (4), p.2356-2365
Main Authors: Morsi, W.G., El-Hawary, M.E.
Format: Article
Language:English
Subjects:
Applied sciences
Discrete wavelet
Discrete wavelet transforms
Disturbances
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Fast Fourier transforms
Fourier transforms
Frequency
Leakage
nonstationary disturbance
Operation. Load control. Reliability
Pollution
Pollution abatement
power components
Power electronics, power supplies
power measurements
Power networks and lines
Power quality
power quality (PQ)
Reactive power
Signal resolution
Spectra
stationary wavelet
Transforms
Voltage
Wavelet transforms
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Summary:Power components, power factors, and pollution factor are defined according to the IEEE standard 1459-2000 based on the fast Fourier transform (FFT). However, the FFT in the presence of nonstationary power quality (PQ) disturbances results in inaccurate values due to its sensitivity to the spectral leakage problem. In this paper, a new perspective for the IEEE standard 1459-2000 definitions is introduced using the stationary wavelet transform (SWT). As a time-frequency transform, the SWT can provide variable frequency resolution while preserving time information without spectral leakage as the FFT. Moreover, unlike other time-frequency transforms, such as discrete wavelet transform (DWT), SWT possesses the time-invariance property that keeps the time and frequency characteristics throughout all of the decomposition levels. Results of different case studies including stationary, nonstationary of synthetic, and real PQ disturbances proves the effectiveness of applying the SWT over FFT or DWT.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2008.2002660