Wavelets Selection for Commutation Failure Detection in HVDC System

Author

YuHong, Wang ; Zhen, Ren ; Qunzha, Li

Author_Institution

Southwest Jiaotong Univ., Chengdu

fYear

2006

fDate

14-17 Nov. 2006

Firstpage

1

Lastpage

4

Abstract

This paper presents a wavelet based commutation failure (CF) detection technique in HVDC system, and selects the suitable mother wavelet. The different properties of wavelets are analyzed in detail. It is shown that the orthogonality, regularity, moments, and symmetry of a wavelet function may affect the CF detection to some extent, and the critical factor is the moments of the mother wavelet. Discrete wavelet transform (DWT) has executed respectively on normal sinusoidal voltage signal and alternative voltage record with CF in Tianguang HVDC project. The transform result shows that DWT by Daubechies wavelet function with high vanishing moments is a cogent tool for CF detection in HVDC system

Keywords

HVDC power convertors; discrete wavelet transforms; failure analysis; DWT; HVDC system; commutation failure detection; discrete wavelet transform; Continuous wavelet transforms; Discrete wavelet transforms; Frequency; HVDC transmission; Multiresolution analysis; Power system planning; Valves; Voltage; Wavelet analysis; Wavelet transforms; Commutation failure; singularity detection; wavelets;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2006. 2006 IEEE Region 10 Conference

Conference_Location

Hong Kong

Print_ISBN

1-4244-0548-3

Electronic_ISBN

1-4244-0549-1

Type

conf

DOI

10.1109/TENCON.2006.343759

Filename

4142434