Strategy based on genetic algorithms for an optimal adjust of a support vector machine used for locating faults in power distribution systems

Strategy based on genetic algorithms for an optimal adjust of a support vector machine used for locating faults in power distribution systems

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This paper presents a hybrid alternative to obtain a low computational cost strategy used to adjust the parameters of a Support Vector Machine based fault locator. The proposed strategy to determine the best parameters is based on the Chu Beasley Genetic Algorithm. The fault locator is tested in th...

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Bibliographic Details
Main Authors: Jaime Gutiérrez Gallego, Juan Mora Flórez, Sandra Pérez Londoño
Format: Article
Language:English
Published: Universidad de Antioquia 2013-03-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
classification
fault location
genetic algorithms
power distribution systems and support vector machines
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/14788

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/14788

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