k-NN based regression strategy used to estimate the fault distance in radial power systems

Authors

  • Germán Morales-España Universidad Tecnológica de Pereira
  • Juan Mora-Flórez Universidad Tecnológica de Pereira
  • Hermann Vargas-Torres Universidad Tecnológica de Pereira

Keywords:

Faults location, k nearest neighbors (k-NN), radial systems, regression

Abstract


A regression strategy based on k nearest neighbors (k-NN) to estimate the fault distance in radial power systems is proposed. This fault location approach uses measurements of the fundamental components of voltage and current measured at the power substation. In addition, the approach is not constrained by the power system modeling and it is easily adaptable to the special characteristics of radial systems. The proposed fault locator is tested in a power distribution system and the obtained mean error is lower than 3%, by considering all fault types, several faulted nodes and fault resistances.

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Author Biographies

Germán Morales-España, Universidad Tecnológica de Pereira

Grupo de Investigación en Sistema de Energía Eléctrica (GISEL) y en Calidad de Energía Eléctrica y Estabilidad (ICE3)

Juan Mora-Flórez, Universidad Tecnológica de Pereira

Grupo de Investigación en Sistema de Energía Eléctrica (GISEL) y en Calidad de Energía Eléctrica y Estabilidad (ICE3)

Hermann Vargas-Torres, Universidad Tecnológica de Pereira

Grupo de Investigación en Sistema de Energía Eléctrica (GISEL) y en Calidad de Energía Eléctrica y Estabilidad (ICE3)

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Published

2014-01-16

How to Cite

Morales-España, G. ., Mora-Flórez, J., & Vargas-Torres, H. (2014). k-NN based regression strategy used to estimate the fault distance in radial power systems. Revista Facultad De Ingeniería Universidad De Antioquia, (45), 100–108. Retrieved from https://revistas.udea.edu.co/index.php/ingenieria/article/view/18117

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