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