Fault diagnosis on electrical distribution systems based on fuzzy logic

Título traducido de la contribución: Diagnóstico de fallos en sistemas de distribución eléctrica basado en lógica difusa

Ramón Perez, Esteban Inga, Alexander Aguila, Carmen Vásquez, Liliana Lima, Amelec Viloria, Maury Ardila Henry

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferencia

17 Citas (Scopus)

Resumen

The 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.

Título traducido de la contribuciónDiagnóstico de fallos en sistemas de distribución eléctrica basado en lógica difusa
Idioma originalInglés
Título de la publicación alojadaFault diagnosis on electrical distribution systems based on fuzzy logic
EditoresYing Tan, Qirong Tang, Yuhui Shi
Páginas174-185
Número de páginas12
ISBN (versión digital)9783319938172
DOI
EstadoPublicada - 1 ene. 2018
EventoLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - , Espana
Duración: 1 ene. 2010 → …

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10942 LNCS
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

ConferenciaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
País/TerritorioEspana
Período1/01/10 → …

Huella

Profundice en los temas de investigación de 'Diagnóstico de fallos en sistemas de distribución eléctrica basado en lógica difusa'. En conjunto forman una huella única.

Citar esto