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Transmission lines distance protection using artificial neural networks
Article in International Journal of Electrical Power amp; Energy Systems · March 2011
DOI: 10.1016/j.ijepes.2010.12.029
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Federal University of ABC
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Journal: International Journal of Electrical Power amp; Energy Systems
Title: Transmission lines distance protection using artificial neural networks
Authors: Ricardo Caneloi dos Santos and Eduardo Cesar Senger
Published online: Mar. 2011
Online version: https://www.sciencedirect.com/science/article/pii/S0142061511000172
DOI: 10.1016/j.ijepes.2010.12.029
Below is a previous version of the article, in accordance with the journal’s copyright agreement.
This article may not exactly replicate the published version, due to editorial changes and/or formatting and corrections during the final stage of publication. Interested readers are advised to consult the published version which can be found at:
https://www.sciencedirect.com/science/article/pii/S0142061511000172
Please refer this manuscript as: R. C. Santos and E. C. Senger, " Transmission lines distance protection using artificial neural networks," Int. J. Electr. Power Energy Syst., vol. 33 (3), pp. 721-730, Mar. 2011.
Transmission Lines Distance Protection Using Artificial Neural Networks
Ricardo Caneloi dos Santosa* and Eduardo Cesar Sengerb
a ABC Federal University, Santo André, S.P., Brazil, CEP 09210-170.
* Corresponding author
E-mail: ricardo.santos@ufabc.edu.br ; Phone: 55-11-4427-8458.
b São Paulo University, São Paulo, S.P., Brazil, CEP 05508-900.
Abstract
This work presents the development and implementation of an artificial neural network (ANN) based algorithm for transmission lines distance protection. This algorithm was developed to be used in any transmission line independent of its configuration or voltage level. The described ANN-based algorithm does not need any topology adaptation or ANN parameters adjustment when applied to different electrical systems. This characteristic makes this solution unique since all ANN-based solutions presented until now were developed for particular transmission lines, which means that these solutions cannot be implemented in commercial relays.
Keywords: Protective relaying, Artificial neural networks, Transmission line protection, Distance protection.
Nomenclature
ANN: Artificial Neural Network VT: Voltage Transformer
CT: Current Transformer MLP: Multilayer Perce
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