A wavelet approach to real time estimation of power system frequency

Author

Lin, Tao ; Tsuji, Mineo ; Yamada, Eiji

Author_Institution

Nagasaki Univ., Japan

fYear

2001

fDate

2001

Firstpage

58

Lastpage

65

Abstract

Frequency is an important parameter of electric power system, also a key index of power quality. A new approach to the estimation of power system frequency using wavelet transform is proposed in this paper. This approach adopts a complex wavelet function as band pass FIR filters to estimate the instantaneous average frequency in its pass frequency band. Besides this, a recursive algorithm of continuous wavelet transform (CWT) based on polynomial type wavelet function is also presented, by which this wavelet approach is very suitable for real time implementation. The performance evaluation exhibits a high robustness and estimation accuracy of the proposed technique over a wide range of frequency deviation. It is further shown that this approach is capable of tracking power system frequency under dynamic conditions, and is immune to the effects of harmonics and decaying DC component

Keywords

frequency estimation; power system analysis computing; power system parameter estimation; real-time systems; wavelet transforms; band pass FIR filters; complex wavelet function; continuous wavelet transform; instantaneous average frequency estimation; pass frequency band; polynomial type wavelet function; power quality; real time power system frequency estimation; wavelet approach; Continuous wavelet transforms; Finite impulse response filter; Frequency estimation; Polynomials; Power quality; Power system dynamics; Power system harmonics; Power systems; Real time systems; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers

Conference_Location

Nagoya

Print_ISBN

0-7803-7306-5

Type

conf

DOI

10.1109/SICE.2001.977806

Filename

977806