DocumentCode
1421853
Title
Frequency estimation by demodulation of two complex signals
Author
Akke, Magnus
Author_Institution
Sydkraft AB, Malmo, Sweden
Volume
12
Issue
1
fYear
1997
fDate
1/1/1997 12:00:00 AM
Firstpage
157
Lastpage
163
Abstract
This paper presents a method for frequency estimation in a power system by demodulation of two complex signals. In power system analysis, the αβ-transform is used to convert three phase quantities to a complex quantity where the real part is the in-phase component and the imaginary part is the quadrature component. This complex signal is demodulated with a known complex phasor rotating in opposite direction to the input. The advantage of this method is that the demodulation does not introduce a double frequency component. For signals with high signal to noise ratio, the filtering demand for the double frequency component can often limit the speed of the frequency estimator. Hence, the method can improve fast frequency estimation of signals with good noise properties. The method loses its benefits for noisy signals, where the filter design is governed by the demand to filter harmonics and white noise. The method has been previously published, but not explored to its potential. The paper presents four examples to illustrate the strengths and weaknesses of the method
Keywords
demodulation; filtering theory; frequency estimation; parameter estimation; power systems; signal processing; αβ-transform; complex phasor rotation; complex signals demodulation; filtering demand; frequency estimation; harmonics filtering; high signal to noise ratio; in-phase component; noise properties; power system analysis; quadrature component; three phase quantities conversion; white noise; Demodulation; Filtering; Frequency estimation; Image analysis; Power harmonic filters; Power system analysis computing; Power system harmonics; Signal design; Signal to noise ratio; White noise;
fLanguage
English
Journal_Title
Power Delivery, IEEE Transactions on
Publisher
ieee
ISSN
0885-8977
Type
jour
DOI
10.1109/61.568235
Filename
568235
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