DocumentCode :
3486114
Title :
Artificial neural network approach for autoreclosure in transmission lines
Author :
Zadeh, H.
Author_Institution :
Univ. of Birjand, Birjand
fYear :
2005
fDate :
27-30 June 2005
Firstpage :
1
Lastpage :
4
Abstract :
This paper present a new algorithm for transmission lines, autoreclosure using artificial neural network. It utilizes the Artificial Neural Network (ANN) as the pattern classifier and different harmonic components of positive sequence of voltage as the input´s ANN. Extensive simulation studies show that harmonics of positive sequence of voltage provide suitable inputs for classification of different faults. The proposed scheme achieves outstanding performance and the ability to discriminate transient faults fast and accurately. Details of the proposed relay design are given in the paper. Some performance studies results are also given.
Keywords :
neural nets; pattern classification; power engineering computing; power system harmonics; power transmission faults; power transmission lines; artificial neural network; pattern classifier; transient faults; transmission lines autoreclosure; voltage positive sequence harmonics; Arc discharges; Artificial neural networks; Circuit faults; Power system faults; Power system modeling; Power system simulation; Power system transients; Power transmission lines; Transmission lines; Voltage; Artificial neural network; Transmission lines; autoreclosure;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Tech, 2005 IEEE Russia
Conference_Location :
St. Petersburg
Print_ISBN :
978-5-93208-034-4
Electronic_ISBN :
978-5-93208-034-4
Type :
conf
DOI :
10.1109/PTC.2005.4524653
Filename :
4524653
Link To Document :
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