Title :
Fault identification of LCC HVDC using signal processing techniques
Author :
Paily, Benish ; Basu, Malabika ; Conlon, Michael
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;
Conference_Titel :
Power Engineering Conference (UPEC), 2013 48th International Universities'
Conference_Location :
Dublin
DOI :
10.1109/UPEC.2013.6715019