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Wireless Personal Communications

Erschienen in:

01.01.2016

Traveling-Wave Fault Location Techniques in Power System Based on Wavelet Analysis and Neural Network Using GPS Timing

verfasst von: Mohammad-Reza Mosavi, Amir Tabatabaei

Erschienen in: Wireless Personal Communications | Ausgabe 2/2016

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Abstract

In this paper four fault location algorithms based on discrete wavelet transform using global positioning system are described and compared. In two approaches, the location of fault is determined according to arrival instances of traveling waves and in two other approaches, the non-linear relations are simulated by artificial neural network to improve the responses. All the possible fault types are generated using the ATP–EMTP and results using the four methods are discussed. Extensive simulation studies indicate that proposed networks decrease errors percentages of two wavelet-based approaches from 0.35 to 0.22 and 0.21 to less than 0.15 %, respectively, though exploiting small size data base for training.

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Titel: Traveling-Wave Fault Location Techniques in Power System Based on Wavelet Analysis and Neural Network Using GPS Timing
verfasst von: Mohammad-Reza Mosavi
Amir Tabatabaei
Publikationsdatum: 01.01.2016
Verlag: Springer US
Erschienen in: Wireless Personal Communications / Ausgabe 2/2016
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-015-2958-1

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