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Titolo:
Neural network-based fault direction discrimination for high-speed transmission line protection
Autore:
Sanaye-Pasand, M; Malik, OP;
Indirizzi:
Univ Tehran, Dept Elect & Comp Engn, Tehran, Iran Univ Tehran Tehran Iran iv Tehran, Dept Elect & Comp Engn, Tehran, Iran Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada Univ Calgary Calgary AB Canada pt Elect & Comp Engn, Calgary, AB, Canada
Titolo Testata:
ELECTRIC POWER COMPONENTS AND SYSTEMS
fascicolo: 8, volume: 29, anno: 2001,
pagine: 757 - 770
SICI:
1532-5008(200108)29:8<757:NNFDDF>2.0.ZU;2-S
Fonte:
ISI
Lingua:
ENG
Keywords:
transmission line protection; power system relaying; fault direction discrimination; artificial neural networks;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Sanaye-Pasand, M Univ Tehran, Dept Elect & Comp Engn, POB 14395-515, Tehran, Iran Univ Tehran POB 14395-515 Tehran Iran 515, Tehran, Iran
Citazione:
M. Sanaye-Pasand e O.P. Malik, "Neural network-based fault direction discrimination for high-speed transmission line protection", EL POW CO S, 29(8), 2001, pp. 757-770

Abstract

Detection of the direction of a fault on a transmission line is essential to the proper performance of a pourer system. With the advent of large generating stations and highly interconnected power systems, shorter fault clearing times are becoming necessary. To classify forward and backward faults on a given line rapidly, a neural networks abilities in pattern recognitionand classification could be considered as a solution. To demonstrate the applicability of this solution, neural network technique is employed to design two different fault direction discrimination modules. Results of performance studies with the proposed networks are presented in this paper. Results obtained indicate that the direction of fault on a transmission line can be identified rapidly and correctly by the proposed approaches.

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Documento generato il 29/03/20 alle ore 23:40:08