Fault Identification of LCC HVDC using Signal Processing Techniques

被引：0

作者：

Paily, Benish ^{[1
]}

Basu, Malabika ^{[1
]}

Conlon, Michael ^{[1
]}

机构：

[1] Dublin Inst Technol, Sch Elect & Elect Engn, Dublin, Ireland

来源：

2013 48TH INTERNATIONAL UNIVERSITIES' POWER ENGINEERING CONFERENCE (UPEC) | 2013年

关键词：

abc to dq0 transform; fault analysis; fault detection; LCC HVDC; Matlab/Simulink; wavelet transform;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

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页数：6

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