Component stress evaluation in an electrical power distribution system using neural networks

Authors:
Miguel A. Sanz-Bobi;Rodrigo J. A. Vieira;Chiara Brighenti;Rafael Palacios;Guillermo Nicolau;Pere Ferrarons;Petronio Vieira
Affiliations:
Comillas Pontifical University, Instituto de Investigación Tecnológica, Madrid, Spain;Comillas Pontifical University, Instituto de Investigación Tecnológica, Madrid, Spain;Comillas Pontifical University, Instituto de Investigación Tecnológica, Madrid, Spain;Comillas Pontifical University, Instituto de Investigación Tecnológica, Madrid, Spain;Endesa Distribución, Barcelona, Spain;Endesa Distribución, Barcelona, Spain;Federal University of Pará, Pará, Brazil
Venue:
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
Year:
2010

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Abstract

This paper presents a procedure that permits a qualitative evaluation of the stress in components of an electric power distribution system. The core of this procedure is the development of a set of models based on neural networks that are able to represent and to predict the normal behavior expected of the components under different working conditions. The paper includes the application to the characterization of the thermal behavior of power transformers and the operation time of circuit breakers.