Name
Dolgih Nadezhda Nikolaevna
Scholastic degree
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Academic rank
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Honorary rank
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Organization, job position
Omsk State Technical University
Web site url
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Articles count: 2
This article presents an algorithm based on the discrete
wavelet transform for the analysis of current root mean
square (RMS) value and total harmonic distortion
(THD) in power systems. Power quality indices play
an important role in case of non-stationary distorted
waveforms, where neither a frequency-domain-based
approach using fast Fourier transform tools nor a timedomain-based
approach using real time data give
satisfactory results. The algorithm proposed
decomposes the current waveforms into uniform
frequency bands corresponding to the odd harmonic
components of the signal. The proposed algorithm
overcomes the spectra leakage problem. Computer
simulations verified the effectiveness of the proposed
algorithm
This article utilizes wavelet analysis, a relatively new
mathematical tool, designed to develop an algorithm of
analysis for electrical transients in electric power
systems. Techniques, which are currently used, fall into
two main categories: time domain or the integral
transform domain. Both of the aforementioned categories
can be stressed when solving equations with a wide
spectrum or when a system of equations is subjected to a
nonstationary forcing function. One of the benefits of
wavelet analysis, however, is the ability to resolve
nonstationary nature signals easily. Based on the discrete
time domain approximation, the system components such
as resistor and inductor are modeled in discrete wavelet
domain for purpose of transient analysis. The method can
be implemented by any kind of orthogonal wavelet
transform. Computer simulations verified the
effectiveness of the proposed method. The proposed
algorithm can be implemented to calculate the shortcircuits
in electric power systems