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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 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 languageEnglish
Title of host publication2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
DOIs
Publication statusPublished - 2007 Dec 1

Publication series

Name2007 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

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  • 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 [4441663] (2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP). https://doi.org/10.1109/ISAP.2007.4441663