Unique localization of faults in distribution systems by means of zones with SVM

Unique localization of faults in distribution systems by means of zones with SVM

This paper presents a new methodology for localizing faults in distribution systems by means of an artificial intelligence technique –Support Vector Machine– (SVM). This methodology divides the electrical system into different zones order to pinpoint the region where the fault exists with accuracy....

Full description

Bibliographic Details
Main Authors: Germán Morales-España, Hermann Raúl Vargas-Torres, René Barrera-Cárdenas
Format: Article
Language:English
Published: Universidad de Antioquia 2013-12-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
Descriptors
artificial intelligence
fault’s localization
multiple estimation
distribution systems
SVM
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/17765

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/17765

Similar Items