Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica Quito

The presence of failures in the Electric Distribution System (SED) of the primary feeders of Empresa Eléctrica Quito, generated by various causes, cause interruptions in the electric supply to users, where the efficiency of the SED associated with reliability is diminished For this reason, in the pr...

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Detalhes bibliográficos
Autores: Sisa Sisa, Victor Arnulfo, Quinatoa Caiza, Carlos Iván
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:Ecuador
Recursos:Universidad Central del Ecuador
Repositorio:Revista Ingenio
Idioma:español
OAI Identifier:oai:revistadigital.uce.edu.ec:article/4307
Acesso em linha:https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/4307
Access Level:acceso abierto
Palavra-chave:Confiabilidad
Probabilidad
simulación del Método de Monte Carlo
alimentadores primarios
Primary feeders
Probability
Reliability
Simulation of the Monte Carlo Method
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spelling Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica QuitoAnálisis de Confiabilidad Usando el Método de Monte Carlo en los Alimentadores Principales de la Subestación Cristianía Perteneciente a la Empresa Eléctrica QuitoSisa Sisa, Victor ArnulfoQuinatoa Caiza, Carlos IvánConfiabilidadProbabilidadsimulación del Método de Monte Carloalimentadores primariosPrimary feedersProbabilityReliabilitySimulation of the Monte Carlo MethodThe presence of failures in the Electric Distribution System (SED) of the primary feeders of Empresa Eléctrica Quito, generated by various causes, cause interruptions in the electric supply to users, where the efficiency of the SED associated with reliability is diminished For this reason, in the present research work, a reliability study is carried out in the primary distribution system of the Cristianía substation through the Monte Carlo Method to optimize the continuity of the electrical service, for which the information of the primary feeders is considered. in the period June 2014 – June 2020 and thus the simulation of the Monte Carlo Method is developed, considering the states of operation, based on the generation of uniformly distributed random numbers for the calculation of forced availability (A) and unavailability (U) and thus obtain the reliability indices at the load point for the period 2021-2023.La presencia de fallas en el Sistema de Distribución Eléctrico (SED) de los alimentadores primarios de la Empresa Eléctrica Quito, generados por diversas causas, ocasionan interrupciones en el suministro eléctrico hacia los usuarios, donde la eficiencia del SED asociada a la confiabilidad se ve disminuida, por esta razón en el presente trabajo de investigación se realiza un estudio de confiabilidad en el sistema primario de distribución de la subestación Cristianía mediante el Método Monte Carlo para optimizar la continuidad del servicio eléctrico, para lo cual se considera la información de los mencionados alimentadores primarios en el periodo junio 2014 – junio 2020 y así se desarrolla la simulación del Método de Monte Carlo, considerando los estados de operación, con base a la generación de números aleatorios uniformemente distribuidos para el cálculo de disponibilidad (A) e indisponibilidad (U) forzadas y así obtener los índices de confiabilidad en el punto de carga para el periodo 2021-2023.Editorial Universitaria de la Universidad Central del Ecuador2023-01-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/430710.29166/ingenio.v6i1.4307INGENIO; Vol. 6 No. 1 (2023): INGENIO Journal, Faculty of Engineering and Applied Science; 38 - 59INGENIO; Vol. 6 Núm. 1 (2023): Revista INGENIO, Facultad de Ingeniería y Ciencias Aplicadas; 38 - 592697-32432588-0829reponame:Revista Ingenioinstname:Universidad Central del Ecuadorinstacron:UCEspahttps://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/4307/5322https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/4307/5323Derechos de autor 2023 Victor Arnulfo Sisa Sisa, Carlos Iván Quinatoa Caizahttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccess2023-02-17T16:51:08Zoai:revistadigital.uce.edu.ec:article/4307Portal de revistashttps://revistadigital.uce.edu.ec/Universidad públicahttps://uce.edu.ec/**Ecuador*2697-32432588-0829opendoar:02023-02-17T16:51:08Revista Ingenio - Universidad Central del Ecuadorfalse
dc.title.none.fl_str_mv Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica Quito
Análisis de Confiabilidad Usando el Método de Monte Carlo en los Alimentadores Principales de la Subestación Cristianía Perteneciente a la Empresa Eléctrica Quito
title Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica Quito
spellingShingle Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica Quito
Sisa Sisa, Victor Arnulfo
Confiabilidad
Probabilidad
simulación del Método de Monte Carlo
alimentadores primarios
Primary feeders
Probability
Reliability
Simulation of the Monte Carlo Method
title_short Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica Quito
title_full Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica Quito
title_fullStr Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica Quito
title_full_unstemmed Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica Quito
title_sort Reliability Analysis Using the Monte Carlo Method in the Main Feeders of the Cristianía Substation Belonging to Empresa Eléctrica Quito
dc.creator.none.fl_str_mv Sisa Sisa, Victor Arnulfo
Quinatoa Caiza, Carlos Iván
author Sisa Sisa, Victor Arnulfo
author_facet Sisa Sisa, Victor Arnulfo
Quinatoa Caiza, Carlos Iván
author_role author
author2 Quinatoa Caiza, Carlos Iván
author2_role author
dc.subject.none.fl_str_mv Confiabilidad
Probabilidad
simulación del Método de Monte Carlo
alimentadores primarios
Primary feeders
Probability
Reliability
Simulation of the Monte Carlo Method
topic Confiabilidad
Probabilidad
simulación del Método de Monte Carlo
alimentadores primarios
Primary feeders
Probability
Reliability
Simulation of the Monte Carlo Method
description The presence of failures in the Electric Distribution System (SED) of the primary feeders of Empresa Eléctrica Quito, generated by various causes, cause interruptions in the electric supply to users, where the efficiency of the SED associated with reliability is diminished For this reason, in the present research work, a reliability study is carried out in the primary distribution system of the Cristianía substation through the Monte Carlo Method to optimize the continuity of the electrical service, for which the information of the primary feeders is considered. in the period June 2014 – June 2020 and thus the simulation of the Monte Carlo Method is developed, considering the states of operation, based on the generation of uniformly distributed random numbers for the calculation of forced availability (A) and unavailability (U) and thus obtain the reliability indices at the load point for the period 2021-2023.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-15
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/4307
10.29166/ingenio.v6i1.4307
url https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/4307
identifier_str_mv 10.29166/ingenio.v6i1.4307
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/4307/5322
https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/4307/5323
dc.rights.none.fl_str_mv Derechos de autor 2023 Victor Arnulfo Sisa Sisa, Carlos Iván Quinatoa Caiza
http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2023 Victor Arnulfo Sisa Sisa, Carlos Iván Quinatoa Caiza
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Editorial Universitaria de la Universidad Central del Ecuador
publisher.none.fl_str_mv Editorial Universitaria de la Universidad Central del Ecuador
dc.source.none.fl_str_mv INGENIO; Vol. 6 No. 1 (2023): INGENIO Journal, Faculty of Engineering and Applied Science; 38 - 59
INGENIO; Vol. 6 Núm. 1 (2023): Revista INGENIO, Facultad de Ingeniería y Ciencias Aplicadas; 38 - 59
2697-3243
2588-0829
reponame:Revista Ingenio
instname:Universidad Central del Ecuador
instacron:UCE
instname_str Universidad Central del Ecuador
instacron_str UCE
institution UCE
reponame_str Revista Ingenio
collection Revista Ingenio
repository.name.fl_str_mv Revista Ingenio - Universidad Central del Ecuador
repository.mail.fl_str_mv *
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