Verification tests of a novel ferroresonance detection technique

Authors

  • V. Valverde Author
  • G. Buigues Author
  • A.J. Mazón Author
  • I. Zamora Author
  • A. Etxegarai Author

DOI:

https://doi.org/10.24084/repqj11.320

Keywords:

Ferroresonance, Ferroresonance Detection, Voltage Transformer, Artificial Neural Networks

Abstract

Ferroresonance is a complex electromagnetic phenomenon that affects voltage transformers. The appearance of the ferroresonant phenomenon provokes important oscillations that are responsible for serious thermal and dielectric overstresses, which may lead to catastrophic failures in the electrical power system. This paper analyzes the behaviour of a novel ferroresonance detection technique, based on artificial neural networks, through the results obtained in several verification tests conducted in a real voltage transformer.

Author Biographies

  • V. Valverde

    Department of Electrical Engineering 
    Faculty of Engineering of Bilbao, UPV-EHU 
    Alameda de Urquijo s/n, 48013 Bilbao (Spain) 

  • G. Buigues

    Department of Electrical Engineering 
    Faculty of Engineering of Bilbao, UPV-EHU 
    Alameda de Urquijo s/n, 48013 Bilbao (Spain) 

  • A.J. Mazón

    Department of Electrical Engineering 
    Faculty of Engineering of Bilbao, UPV-EHU 
    Alameda de Urquijo s/n, 48013 Bilbao (Spain) 

  • I. Zamora

    Department of Electrical Engineering 
    Faculty of Engineering of Bilbao, UPV-EHU 
    Alameda de Urquijo s/n, 48013 Bilbao (Spain)

  • A. Etxegarai

    Department of Electrical Engineering 
    Faculty of Engineering of Bilbao, UPV-EHU 
    Alameda de Urquijo s/n, 48013 Bilbao (Spain)

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Published

2024-01-24

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Section

Articles