DocumentCode :
1757896
Title :
Application of Recursive Least Squares Algorithm With Variable Forgetting Factor for Frequency Component Estimation in a Generic Input Signal
Author :
Beza, Mebtu ; Bongiorno, Massimo
Author_Institution :
Dept. of Energy & Environ., Chalmers Univ. of Technol., Gothenburg, Sweden
Volume :
50
Issue :
2
fYear :
2014
fDate :
March-April 2014
Firstpage :
1168
Lastpage :
1176
Abstract :
Signal estimation is important for protection, system study, and control purposes. This paper deals with the application of a modified recursive least squares algorithm, based on a variable forgetting factor, for estimation of frequency components in a generic input signal. Application areas such as synchronization and control in three- and single-phase systems for various grid conditions as well as estimation of harmonic and subsynchronous components will be discussed. Advantages of the proposed method over the available techniques in terms of estimation speed, frequency selectivity, and noise rejection capability will be described. Finally, simulation and experimental results will be used to evaluate the dynamic performance of the proposed method.
Keywords :
frequency estimation; least squares approximations; performance evaluation; phase control; power system control; power system harmonics; recursive estimation; synchronisation; frequency component estimation; generic input signal estimation; harmonic estimation; modified recursive least square algorithm; noise rejection capability; performance evaluation; power grid; single-phase system; speed estimation; subsynchronous component; three-phase system; variable forgetting factor; Bandwidth; Estimation; Frequency estimation; Harmonic analysis; Steady-state; Transient analysis; Vectors; Adaptive estimation; frequency estimation; least squares methods; phase estimation; phase-locked loops (PLLs); variable forgetting factor;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2013.2279195
Filename :
6584754
Link To Document :
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