Stochastic simulation model of attention to response to electrical distribution system faults

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dc.contributor.authorJara, Mario
dc.contributor.authorSabattin, Jorge
dc.contributor.authorRojas, Felipe
dc.contributor.authorReyes, Hector
dc.contributor.authorJones, Francisco
dc.contributor.authorPortales, Hector
dc.contributor.authorReyes, Marcelo
dc.contributor.authorGatica, Gustavo
dc.contributor.authorAliaga, Erwin
dc.contributor.authorCalderon-Ochoa, Andres
dc.contributor.authorCoronado-Hernandez, Jairo R.
dc.date.accessioned2024-04-16T21:12:05Z
dc.date.available2024-04-16T21:12:05Z
dc.date.issued2023-03
dc.descriptionIndexación: Scopus.
dc.description.abstractQueuing theory allows simulating scenarios applied to requirements of events of stochastic origin to solve problems in the attention service of electrical networks. Regarding emergency reactions, companies may experience response time delays due to incorrect sizing of the number of crew members, among other parameters. So is the case for a company in the Chilean energy sector called Enel, which is currently experiencing response delay issues. A complete formulation is presented, which can be easily used for planning the crews required for attention to the response to electrical distribution system faults. The formulation is applied to an electrical distribution company located in Chile. © 2023 Elsevier B.V.. All rights reserved.
dc.description.urihttps://www-sciencedirect-com.recursosbiblioteca.unab.cl/science/article/pii/S1877050923006634?via%3Dihub
dc.identifier.citationProcedia Computer Science. Volume 220, Pages 934 - 939. 2023. 14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023. Leuven. 15 March 2023through 17 March 2023. Code 189712
dc.identifier.doi10.1016/j.procs.2023.03.128
dc.identifier.issn1877-0509
dc.identifier.urihttps://repositorio.unab.cl/handle/ria/56057
dc.language.isoen
dc.publisherElsevier B.V.
dc.rights.licenseCC BY-NC-ND 4.0 DEED Attribution-NonCommercial-NoDerivs 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCrew Location
dc.subjectOptimization Model
dc.subjectPower Line Emergencies
dc.subjectStochastic Process
dc.subjectWaiting Lines
dc.titleStochastic simulation model of attention to response to electrical distribution system faults
dc.typeArtículo
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