SciELO - Scientific Electronic Library Online

 
 número47Methodology for the identification of transient and permanent faults in overhead transmission lines, using wavelet transformsFaulted zone determination using statistical modeling of voltage sag database in power distribution systems índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Revista Facultad de Ingeniería Universidad de Antioquia

versão impressa ISSN 0120-6230versão On-line ISSN 2422-2844

Resumo

MORALES ESPANA, Germán; BARRERA CARDENAS, René  e  VARGAS TORRES, Hermann Raúl. Unique localization of faults in distribution systems by means of zones with SVM. Rev.fac.ing.univ. Antioquia [online]. 2009, n.47, pp.187-196. ISSN 0120-6230.

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. The advantage over classical distance methods is the unique estimation of the fault’s locus in branches systems. An example using a real system model shows that the proposed methodology is highly effective finding the fault localization. In such example load changes of ± 40 % from nominal load are considered.

Palavras-chave : Descriptors; artificial intelligence; fault’s localization; multiple estimation; distribution systems; SVM; zones.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons