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

研究成果: Conference contribution

9 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
DOIs
出版狀態Published - 2007 12月 1

出版系列

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

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 能源工程與電力技術
  • 控制與系統工程

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