Fault Identification of LCC HVDC Using Signal Processing Techniques

Authors

Benish Paily, Technological University Dublin
Malabika Basu, Technological University DublinFollow
Michael Conlon, Technological University DublinFollow

Document Type

Conference Paper

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Electrical and electronic engineering

Publication Details

Power Engineering Conference (UPEC), 2013 48th International Universities' , vol., no., pp.1,6, 2-5 Sept. 2013 doi: 10.1109/UPEC.2013.6715019

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.

DOI

https://doi.org/10.1109/UPEC.2013.6715019

Recommended Citation

Paily, B.; Basu, M.; Conlon, M., "Fault identification of LCC HVDC using signal processing techniques," Power Engineering Conference (UPEC), 2013 48th International Universities' , vol., no., pp.1,6, 2-5 Sept. 2013 doi: 10.1109/UPEC.2013.6715019