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Wavelet Based Energy
Extraction Method for Determining Power Quality Disturbances
C.
Kocaman, M. Ozdemir
2018/04/20
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Abstract
In this paper, energy of wavelet coefficients
are used for determining power quality disturbances (PQD) which are important
for power systems. These power quality disturbances are voltage with harmonics,
transient and flicker. After analyzing energy coeffients based on wavelet
transform,
these PQD are compared with healty condition. 50 Hz pure sine is chosen
as reference. These signals are generated by using MATLAB. Sampling frequency
is 25.6 kHz. Energy distribution
of detail coefficients are obtained by using 12 level Daubechies-4 discrete
wavelet filter. Parseval theorem is applied to wavelet coefficients for
obtaining energy distribution of detail coefficients of these relevant
disturbances in different resolution levels. Satisfactory results are
taken visually when examining energy distrubutions of these PQD. Also
it is observed that these PQD can be distinguished visually when their
amplitudes are increased. Energy coefficients of PQD and amplitude of
PQD are in direct propotion.
| Published in: Renewable Energy
& Power Quality Journal (RE&PQJ, Nº. 16) |
| Pages: 651-656 |
Date of Publication: 2018/04/20 |
| ISSN: 2172-038X |
Date of Current Version:2018/03/23 |
| REF: 420-18 |
Issue Date: April 2018 |
| DOI:10.24084/repqj16.420 |
Publisher: EA4EPQ |
Authors and affiliations
C. Kocaman1, M. Ozdemir2
1. Faculty of Aeronautics and Astronautics. Ondokuz Mayis University.
Campus of Ballýca Samsun (Turkey)
2. Department of Electical and Electronics Engineering. Ondokuz Mayis
University. Campus of Kurupelit Samsun (Turkey)
Key words
Power quality disturbances, wavelet trasform, harmonics,
transients, flicker.
References
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