DocumentCode :
2911254
Title :
Application of grey relational analysis to fault type identification on power transmission line
Author :
Zhijun, Long
fYear :
2007
fDate :
18-20 Nov. 2007
Firstpage :
167
Lastpage :
171
Abstract :
The speed and accuracy of digital relays of transmission lines can be improved by accurate and fast fault type identification, and this also allows single pole tripping and auto-reclosure to be employed. Conventional selection schemes, however, have defects. A fault phase selector, based on grey relational analysis (GRA), is proposed in this paper. Experiments are given in this paper, the actual fault data of transmission line is compared with all kinds of fault types got by RTDS (real time digital simulation), the type of fault-phase is found lastly. The experiments´ result is accuracy, so the GRA based fault type identification method proposed in this paper is reliable and feasible.
Keywords :
fault location; grey systems; power transmission faults; power transmission lines; GRA-based fault phase selector; digital relays; fault type identification; grey relational analysis; power transmission line; single pole tripping; Artificial neural networks; Circuit faults; Fault diagnosis; Power generation; Power system faults; Power system relaying; Power system reliability; Power system stability; Power transmission lines; Transmission line theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-1294-5
Electronic_ISBN :
978-1-4244-1294-5
Type :
conf
DOI :
10.1109/GSIS.2007.4443259
Filename :
4443259
Link To Document :
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