Fault identification of LCC HVDC using signal processing techniques

Author

Paily, Benish ; Basu, Malabika ; Conlon, Michael

fYear

2013

fDate

2-5 Sept. 2013

Firstpage

1

Lastpage

6

Abstract

Line commutated HVDC (LCC HVDC) technology has been in operation with a high level reliability and little maintenance requirements for more than 30 years. This technology plays an important role in particular in the wind energy industry. The current-source based or classical LCC-HVDC systems are being considered for buried cable transmission as well as overhead transmission. The fault analysis and protection of LCC-HVDC system is a very important aspect in terms of power system stability. This paper presents a comparative study of abc to dq⁰ transformation, and wavelet transform-based analysis for the identification of faults in an LCC HVDC system.

Keywords

HVDC power transmission; power cables; power overhead lines; power system stability; power transmission reliability; signal processing; wavelet transforms; LCC HVDC technology; cable transmission; fault analysis; fault identification; line commutated HVDC technology; maintenance requirements; overhead transmission; power system stability; reliability; signal processing; wavelet transform; wind energy industry; Circuit faults; HVDC transmission; Rectifiers; Wavelet analysis; Wavelet coefficients; LCC HVDC; Matlab/Simulink; abc to dq0 transform; fault analysis; fault detection; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Engineering Conference (UPEC), 2013 48th International Universities'

Conference_Location

Dublin

Type

conf

DOI

10.1109/UPEC.2013.6715019

Filename

6715019