DocumentCode :
2369919
Title :
An ANN-impedance-based fault detection technique in T-Connection transmission overhead lines
Author :
Abniki, Hassan ; Nateghi, Saeed ; Razavi, Mohammad Nabavi
Author_Institution :
ECE Sch., Univ. of Tehran, Tehran, Iran
fYear :
2012
fDate :
18-25 May 2012
Firstpage :
24
Lastpage :
29
Abstract :
The aim of this paper is to present an impedance-based technique in order to fault detection in transmission overhead lines. When a fault happens in a power system, fast and reliable fault detection methods are not only desirable but also necessary. In this paper, an impedance-based fault detection technique is presented which applied in ANN. In this regard, using the zero sequence impedance values trained by feed-forward back propagation technique, the layer of presented ANN will be trained and after that a fast and accurate fault detection technique is provided. Extended simulations are developed using EMTDC software and the results proved the appropriate performance of the proposed technique in all conditions.
Keywords :
EMTP; fault diagnosis; neural nets; power engineering computing; power overhead lines; power transmission faults; ANN impedance based fault detection technique; EMTDC software; T-connection transmission overhead lines; artificial neural networks; feed forward back propagation technique; zero sequence impedance value; Artificial neural networks; Conductors; Impedance; Mathematical model; Power transmission lines; Training; ANN; Zero-sequqnce impedance; fault detection; transmission line;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4577-1830-4
Type :
conf
DOI :
10.1109/EEEIC.2012.6221582
Filename :
6221582
Link To Document :
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