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Universidad de la Costa, CUC. Calle 58 # 55 - 66. Barranquilla, Colombia. 336 22 00. repositorioredicuc@cuc.edu.co. Corporación Universidad de la Costa.

Fault diagnosis on electrical distribution systems based on fuzzy logic

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Fault diagnosis on electrical distribution systems based on fuzzy logic.pdf (174.0Kb)
Date
2018
Author
Perez, Ramon
Inga, Esteban
Aguila, Alexander
Vásquez, Carmen
Chaltel Lima, Liliana A.
Viloria Silva, Amelec Jesus
Maury Ardila, Henry Alfonso
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URI: http://hdl.handle.net/11323/1775

Abstract

he occurrence of faults in distribution systems has a negative impact on society, and their effects can be reduced by fast and accurate diagnostic systems that allow to identify, locate, and correct the failures. Since the 1990s, fuzzy logic and other artificial intelligence techniques have been implemented to identify faults in distribution systems. The main objective of this paper is to perform fault diagnoses based on fuzzy logic. For conducting the study, the IEEE 34-Node Radial Test Feeder is used. The data was obtained from ATPDraw-based fault simulation on different nodes of the circuit considering three different fault resistance values of 0, 5, and 10 ohms. The fuzzy rules to identify the type of fault are defined using the magnitudes of the phase and neutral currents. All measurements are taken at the substation, and the results show that the proposed technique can perfectly identify and locate the type of failure.
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Universidad de la Costa, CUC

  • Calle 58 # 55 - 66. Barranquilla, Colombia

  • 336 22 00

  • repositorioredicuc@cuc.edu.co

Corporación Universidad de la Costa CUC, Personería Jurídica con Resolución No. 352 del 23 de abril de 1971 y reconocida como Universidad mediante resolución 3235 del 28 de marzo de 2012 expedida por el MEN. Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional.

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  • Universidad de la Costa
  • Biblioteca
  • Catálogo bibliográfico
  • Recuperador Primo

Universidad de la Costa CUC.
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