DocumentCode :
2543717
Title :
A modified least mean square algorithm for adaptive frequency estimation in power systems
Author :
Barbosa, Daniel ; Monaro, Renato Machado ; Coury, Denis Vinicius ; Oleskovicz, Mario
Author_Institution :
Dept. of Electr. Eng., Univ. of Sao Paulo, Sao Carlos
fYear :
2008
fDate :
20-24 July 2008
Firstpage :
1
Lastpage :
6
Abstract :
This research presents a method for frequency estimation in power systems using an adaptive filter based on the least mean square algorithm (LMS). In order to analyze a power system, three-phase voltages were converted into a complex signal applying alphabeta-transform an its result was used in the adaptive filtering algorithm. The computing simulations were carried out using the ATP software. Four different situations were created for the performance analysis of the proposed methodology. The results were compared to a commercial relay for validation, showing the advantages of the new method.
Keywords :
adaptive filters; frequency estimation; least mean squares methods; power system protection; transforms; adaptive filter; adaptive frequency estimation; alphabeta-transform; modified least mean square algorithm; power systems; three-phase voltages; Adaptive filters; Algorithm design and analysis; Frequency estimation; Least mean square algorithms; Least squares approximation; Power system analysis computing; Power system simulation; Power systems; Signal analysis; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
ISSN :
1932-5517
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2008.4596771
Filename :
4596771
Link To Document :
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