Classification of Sags Measured in a Distribution Substation Using a Fuzzy Tool.

Authors

  • J. Mora Author
  • J. Meléndez Author
  • J. Colomer Author
  • D. Llanos Author

DOI:

https://doi.org/10.24084/repqj01.399

Keywords:

Classification, Learning machine, Faults, Power quality, Voltage sags

Abstract

This paper discuss about voltage sags classification using a previous characterization of this type of electrical disturbances. An automatic classification algorithm, working under a non-supervised strategy is proposed. The method helps to determine the possible fault cause and location of voltage sags using a prototype definition and the pertinence degree for each resulting class.

Author Biographies

  • J. Mora

    Control Engineering and Intelligent Systems Group - eXiT University of Girona

  • J. Meléndez

    Control Engineering and Intelligent Systems Group - eXiT University of Girona

  • J. Colomer

    Control Engineering and Intelligent Systems Group - eXiT University of Girona

  • D. Llanos

    Control Engineering and Intelligent Systems Group - eXiT University of Girona

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Published

2023-12-28

Issue

Section

Articles