Monitoring and Fault Location Sensor Network for Underground Distribution Lines

One of the fundamental tasks of electric distribution utilities is guaranteeing a continuous supply of electricity to their customers. The primary distribution network is a critical part of these facilities because a fault in it could affect thousands of customers. However, the complexity of this ne...

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Autores: Parejo Matos, Antonio, Personal Vázquez, Enrique, Larios Marín, Diego Francisco, Guerrero Alonso, Juan Ignacio, García Delgado, Antonio, León de Mora, Carlos, León de Mora, Carlos (Coordinador)
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/83782
Acceso en línea:https://hdl.handle.net/11441/83782
https://doi.org/10.3390/s19030576
Access Level:acceso abierto
Palabra clave:Sensor network
Smart grid
Power line monitoring
Underground distribution lines
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spelling Monitoring and Fault Location Sensor Network for Underground Distribution LinesParejo Matos, AntonioPersonal Vázquez, EnriqueLarios Marín, Diego FranciscoGuerrero Alonso, Juan IgnacioGarcía Delgado, AntonioLeón de Mora, CarlosLeón de Mora, Carlos (Coordinador)Sensor networkSmart gridPower line monitoringUnderground distribution linesOne of the fundamental tasks of electric distribution utilities is guaranteeing a continuous supply of electricity to their customers. The primary distribution network is a critical part of these facilities because a fault in it could affect thousands of customers. However, the complexity of this network has been increased with the irruption of distributed generation, typical in a Smart Grid and which has significantly complicated some of the analyses, making it impossible to apply traditional techniques. This problem is intensified in underground lines where access is limited. As a possible solution, this paper proposes to make a deployment of a distributed sensor network along the power lines. This network proposes taking advantage of its distributed character to support new approaches of these analyses. In this sense, this paper describes the aquiculture of the proposed network (adapted to the power grid) based on nodes that use power line communication and energy harvesting techniques. In this sense, it also describes the implementation of a real prototype that has been used in some experiments to validate this technological adaptation. Additionally, beyond a simple use for monitoring, this paper also proposes the use of this approach to solve two typical distribution system operator problems, such as: fault location and failure forecasting in power cables.Ministerio de Economía y Competitividad, Government of Spain project Sistema Inteligente Inalámbrico para Análisis y Monitorización de Líneas de Tensión Subterráneas en Smart Grids (SIIAM) TEC2013-40767-RMinisterio de Educación, Cultura y Deporte, Government of Spain, for the funding of the scholarship Formación de Profesorado Universitario 2016 (FPU 2016)MDPILeón de Mora, CarlosTecnología ElectrónicaTIC150: Tecnología Electrónica e Informática IndustrialMinisterio de Economía y Competitividad (MINECO). EspañaMinisterio de Educación, Cultura y Deporte (MECD). España2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/83782https://doi.org/10.3390/s19030576reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésSensors, 19 (3)TEC2013-40767-Rhttps://www.mdpi.com/1424-8220/19/3/576info:eu-repo/semantics/openAccessoai:idus.us.es:11441/837822026-06-17T12:51:07Z
dc.title.none.fl_str_mv Monitoring and Fault Location Sensor Network for Underground Distribution Lines
title Monitoring and Fault Location Sensor Network for Underground Distribution Lines
spellingShingle Monitoring and Fault Location Sensor Network for Underground Distribution Lines
Parejo Matos, Antonio
Sensor network
Smart grid
Power line monitoring
Underground distribution lines
title_short Monitoring and Fault Location Sensor Network for Underground Distribution Lines
title_full Monitoring and Fault Location Sensor Network for Underground Distribution Lines
title_fullStr Monitoring and Fault Location Sensor Network for Underground Distribution Lines
title_full_unstemmed Monitoring and Fault Location Sensor Network for Underground Distribution Lines
title_sort Monitoring and Fault Location Sensor Network for Underground Distribution Lines
dc.creator.none.fl_str_mv Parejo Matos, Antonio
Personal Vázquez, Enrique
Larios Marín, Diego Francisco
Guerrero Alonso, Juan Ignacio
García Delgado, Antonio
León de Mora, Carlos
León de Mora, Carlos (Coordinador)
author Parejo Matos, Antonio
author_facet Parejo Matos, Antonio
Personal Vázquez, Enrique
Larios Marín, Diego Francisco
Guerrero Alonso, Juan Ignacio
García Delgado, Antonio
León de Mora, Carlos
León de Mora, Carlos (Coordinador)
author_role author
author2 Personal Vázquez, Enrique
Larios Marín, Diego Francisco
Guerrero Alonso, Juan Ignacio
García Delgado, Antonio
León de Mora, Carlos
León de Mora, Carlos (Coordinador)
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv León de Mora, Carlos
Tecnología Electrónica
TIC150: Tecnología Electrónica e Informática Industrial
Ministerio de Economía y Competitividad (MINECO). España
Ministerio de Educación, Cultura y Deporte (MECD). España
dc.subject.none.fl_str_mv Sensor network
Smart grid
Power line monitoring
Underground distribution lines
topic Sensor network
Smart grid
Power line monitoring
Underground distribution lines
description One of the fundamental tasks of electric distribution utilities is guaranteeing a continuous supply of electricity to their customers. The primary distribution network is a critical part of these facilities because a fault in it could affect thousands of customers. However, the complexity of this network has been increased with the irruption of distributed generation, typical in a Smart Grid and which has significantly complicated some of the analyses, making it impossible to apply traditional techniques. This problem is intensified in underground lines where access is limited. As a possible solution, this paper proposes to make a deployment of a distributed sensor network along the power lines. This network proposes taking advantage of its distributed character to support new approaches of these analyses. In this sense, this paper describes the aquiculture of the proposed network (adapted to the power grid) based on nodes that use power line communication and energy harvesting techniques. In this sense, it also describes the implementation of a real prototype that has been used in some experiments to validate this technological adaptation. Additionally, beyond a simple use for monitoring, this paper also proposes the use of this approach to solve two typical distribution system operator problems, such as: fault location and failure forecasting in power cables.
publishDate 2019
dc.date.none.fl_str_mv 2019
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://hdl.handle.net/11441/83782
https://doi.org/10.3390/s19030576
url https://hdl.handle.net/11441/83782
https://doi.org/10.3390/s19030576
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sensors, 19 (3)
TEC2013-40767-R
https://www.mdpi.com/1424-8220/19/3/576
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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