Fault diagnosis on electrical distribution systems based on fuzzy logic

dc.creatorPérez, Ramón
dc.creatorInga, Esteban
dc.creatorAguila, Alexander
dc.creatorVásquez, Carmen
dc.creatorLima, Liliana
dc.creatoramelec, viloria
dc.creatorMaury-Ardila, Henry
dc.date2022-10-19T20:03:02Z
dc.date2022-10-19T20:03:02Z
dc.date2022
dc.date.accessioned2023-10-03T18:56:36Z
dc.date.available2023-10-03T18:56:36Z
dc.identifierPerez, R. et al. (2018). Fault Diagnosis on Electrical Distribution Systems Based on Fuzzy Logic. In: Tan, Y., Shi, Y., Tang, Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science(), vol 10942. Springer, Cham. https://doi.org/10.1007/978-3-319-93818-9_17
dc.identifier978-3-319-93817-2
dc.identifierhttps://hdl.handle.net/11323/9574
dc.identifier10.1007/978-3-319-93818-9_17
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier978-3-319-93818-9
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9166382
dc.descriptionThe 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.
dc.format1 página
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherSpringer Verlag
dc.publisherGermany
dc.relationAdvances in Swarm Intelligence;ICSI 2018
dc.relationLecture Notes in Computer Science
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dc.rights© 2018 Springer International Publishing AG, part of Springer Nature
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourcehttps://link.springer.com/chapter/10.1007/978-3-319-93818-9_17
dc.subjectDistribution systems
dc.subjectFault location
dc.subjectFault type
dc.subjectFuzzy logic
dc.titleFault diagnosis on electrical distribution systems based on fuzzy logic
dc.typeCapítulo - Parte de Libro
dc.typehttp://purl.org/coar/resource_type/c_3248
dc.typeText
dc.typeinfo:eu-repo/semantics/bookPart
dc.typehttp://purl.org/redcol/resource_type/CAP_LIB
dc.typeinfo:eu-repo/semantics/draft
dc.typehttp://purl.org/coar/version/c_b1a7d7d4d402bcce


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