Frequency estimation of distorted power system signals using a robust algorithm

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

Research output: Contribution to journalArticlepeer-review

84 Citations (Scopus)


This paper proposes a robust algorithm based on an extended complex Kalman filter (ECKF) for improving frequency estimation of distorted power system signals. In general, abnormal data obtained from measurements may cause noises and disturbances of power systems as well as affect the accuracy of frequency estimation. For this reason, the proposed algorithm is employed to suppress the abnormalities from abnormal data of measurements for promoting the efficiency in frequency estimation. Moreover, not only can it perform the ECKF without changing any form of it, but it can also save the execution time. Results of frequency estimation for distorted signals using the proposed method are compared with the ECKF.

Original languageEnglish
Pages (from-to)41-51
Number of pages11
JournalIEEE Transactions on Power Delivery
Issue number1
Publication statusPublished - 2008 Jan

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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