DocumentCode :
29780
Title :
Natural Frequency-Based Line Fault Location in HVDC Lines
Author :
Zheng-You He ; Kai Liao ; Xiao-peng Li ; Sheng Lin ; Jian-wei Yang ; Rui-kun Mai
Author_Institution :
Dept. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
Volume :
29
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
851
Lastpage :
859
Abstract :
To predict the location of dc line-faults in an HVDC system, a novel algorithm based on traveling-wave natural frequency using 10-ms current data from the single end is proposed in this paper. The relationship among the natural frequency of traveling wave, fault distance, and reflect coefficient at the terminal of the transmission line is presented. The multiple signal classification method is employed to extract the dominant natural frequency through the spectrum analysis of the traveling wave. The traveling-wave velocity and reflect coefficient under the dominant natural frequency are calculated to identify the fault location. Performance of the proposed fault-location algorithm is studied through detailed simulations carried out by using the electromagnetic transient simulation software PSCAD/EMTDC. The method does not need to identify the surge arrival time and it is more robust compared to the traditional traveling-wave-based fault-location methods. The simulation results have shown that the proposed method is valid and can locate the faults occurring on HVDC transmission lines accurately.
Keywords :
HVDC power transmission; fault location; power transmission faults; EMTDC; HVDC transmission lines; PSCAD; dc line-fault location; electromagnetic transient simulation software; fault distance; multiple signal classification method; natural frequency extraction; natural frequency-based line fault location; spectrum analysis; transmission line; traveling-wave natural frequency; Circuit faults; Fault location; HVDC transmission; Impedance; Mathematical model; Power transmission lines; Surges; Fault location; HVDC; PSCAD/EMTDC; natural frequency;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2013.2269769
Filename :
6555974
Link To Document :
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