DocumentCode :
2907522
Title :
Frequency Estimation of Distorted Power System Signals Using Robust Extended Complex Kalman Filter
Author :
Huang, Chien-Hung ; Lee, Chien-Hsing ; Shih, Kuang-Jung ; Wang, Yaw-Juen
Author_Institution :
Nat. Yunlin Univ. of Sci. & Technol., Yunlin
fYear :
2007
fDate :
5-8 Nov. 2007
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes to use robust extended complex Kalman filter (ECKF) for improving frequency estimation of distorted power system signals. Generally, abnormal data obtained from measurements may cause noises and disturbances as well as affect the accuracy of frequency estimation in a power system. Thus, the proposed method is employed to suppress the abnormalities from abnormal data of measurements for promoting the efficiency in frequency estimation. Results of frequency estimation for distorted signals using the proposed method are compared with the ECKF.
Keywords :
Kalman filters; distortion; frequency estimation; power system faults; power system parameter estimation; ECKF; abnormality suppression; extended complex Kalman filter; frequency estimation; power system disturbances; power system signal distortion; Distortion measurement; Frequency estimation; Frequency measurement; Nonlinear distortion; Pollution measurement; Power system dynamics; Power system measurements; Power system reliability; Power systems; Robustness; distorted signals; extended complex Kalman filter; frequency estimation; robust algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Applications to Power Systems, 2007. ISAP 2007. International Conference on
Conference_Location :
Toki Messe, Niigata
Print_ISBN :
978-986-01-2607-5
Electronic_ISBN :
978-986-01-2607-5
Type :
conf
DOI :
10.1109/ISAP.2007.4441663
Filename :
4441663
Link To Document :
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