Frequency estimation of distorted power system signals using a robust algorithm

被引：54

作者：

Huang, Chien-Hung ^{[1
]}

Lee, Chien-Hsing ^{[2
]}

Shih, Kuang-Jung ^{[3
]}

Wang, Yaw-Juen ^{[1
]}

机构：

[1] Natl Yunlin Univ Sci & Technol, Grad Sch Engn Sci & Technol, Yunlin 640, Taiwan

[2] Natl Cheng Kung Univ, Dept Syst & Naval Mechatron Engn, Tainan 701, Taiwan

[3] Natl Formosa Univ Sci & Technol, Dept Elect Engn, Yunlin 632, Taiwan

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2008年 / 23卷 / 01期

关键词：

distorted signals; extended complex Kalman filter; frequency estimation; robust algorithm;

D O I：

10.1109/TPWRD.2007.911143

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：41 / 51

页数：11

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