SciELO - Scientific Electronic Library Online

vol.16 número2A virtual assistant architecture to support the delivery of texts in languages teaching - learning processesEffect of heavy metal concentration on the physiological responses and heavy metal accumulation of three tropical plant species used for phytoremediation of landfill leachate índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados



Links relacionados

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


Ingeniería y competitividad

versão impressa ISSN 0123-3033


ZAPATA-TAPASCO, Andrés; MORA-FLOREZ, Juan  e  PEREZ-LONDONO, Sandra. Hybrid methodology based on knn regression and boosting classification techniques for locating faults in distribution systems. Ing. compet. [online]. 2014, vol.16, n.2, pp.165-177. ISSN 0123-3033.

This paper presents a hybrid methodology for fault location in power distribution systems, by using a regression technique based on k nearest neighbors and a classification technique which uses multiple simple classifiers in a Boosting strategy. The proposed methodology first subdivides the power system into zones to train the classification technique. Then the parameters of the regression technique are adjusted and the classification technique is trained. Finally, for an unknown case, the regression technique estimates the fault distance, and the classification technique locates the fault in one of the predefined zones, solving the multiple estimation problem. The IEEE34 node test feeder is used to test the proposed fault locator, where a good performance is obtained either in the classification task (minimal precision of 95.7 %) and the regression task (highest absolute error of 8.05%). The proposed method can be easily implemented in a power system, is fast and has low computational effort

Palavras-chave : Boosting; classification; k nearest neighbors; fault location; regression.

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