Fault diagnosis on electrical distribution systems based on fuzzy logic

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

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.

Translated title of the contributionDiagnóstico de fallos en sistemas de distribución eléctrica basado en lógica difusa
Original languageEnglish
Title of host publicationFault diagnosis on electrical distribution systems based on fuzzy logic
EditorsYing Tan, Qirong Tang, Yuhui Shi
Pages174-185
Number of pages12
ISBN (Electronic)9783319938172
DOIs
StatePublished - 1 Jan 2018
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - , Spain
Duration: 1 Jan 2010 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10942 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Country/TerritorySpain
Period1/01/10 → …

Keywords

  • Distribution systems
  • Fault location
  • Fault type
  • Fuzzy logic

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