Frequency estimation of distorted power system signals using robust extended complex Kalman filter

Chien Hung Huang; Chien Hsing Lee; Kuang Jung Shih; Yaw Juen Wang

doi:10.1109/ISAP.2007.4441663

Frequency estimation of distorted power system signals using robust extended complex Kalman filter

Chien Hung Huang, Chien Hsing Lee, Kuang Jung Shih, Yaw Juen Wang

Department of Systems and Naval Mechatronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

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.

Original language	English
Title of host publication	2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
DOIs	https://doi.org/10.1109/ISAP.2007.4441663
Publication status	Published - 2007 Dec 1

Publication series

Name	2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Energy Engineering and Power Technology
Control and Systems Engineering

Access to Document

10.1109/ISAP.2007.4441663

Cite this

Huang, C. H., Lee, C. H., Shih, K. J., & Wang, Y. J. (2007). Frequency estimation of distorted power system signals using robust extended complex Kalman filter. In 2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP Article 4441663 (2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP). https://doi.org/10.1109/ISAP.2007.4441663

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title = "Frequency estimation of distorted power system signals using robust extended complex Kalman filter",

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.",

author = "Huang, {Chien Hung} and Lee, {Chien Hsing} and Shih, {Kuang Jung} and Wang, {Yaw Juen}",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/ISAP.2007.4441663",

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Huang, CH, Lee, CH, Shih, KJ & Wang, YJ 2007, Frequency estimation of distorted power system signals using robust extended complex Kalman filter. in 2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP., 4441663, 2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP. https://doi.org/10.1109/ISAP.2007.4441663

Frequency estimation of distorted power system signals using robust extended complex Kalman filter. / Huang, Chien Hung; Lee, Chien Hsing; Shih, Kuang Jung et al.
2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP. 2007. 4441663 (2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Frequency estimation of distorted power system signals using robust extended complex Kalman filter

AU - Huang, Chien Hung

AU - Lee, Chien Hsing

AU - Shih, Kuang Jung

AU - Wang, Yaw Juen

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

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ER -

Frequency estimation of distorted power system signals using robust extended complex Kalman filter

Abstract

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