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dc.contributor.editorLeón de Mora, Carloses
dc.creatorParejo Matos, Antonioes
dc.creatorPersonal Vázquez, Enriquees
dc.creatorLarios Marín, Diego Franciscoes
dc.creatorGuerrero Alonso, Juan Ignacioes
dc.creatorGarcía Delgado, Antonioes
dc.creatorLeón de Mora, Carloses
dc.date.accessioned2019-03-05T10:53:07Z
dc.date.available2019-03-05T10:53:07Z
dc.date.issued2019
dc.identifier.citationParejo Matos, A., Personal Vázquez, E., Larios Marín, D.F., Guerrero Alonso, J.I., García Delgado, A. y León de Mora, C. (2019). Monitoring and Fault Location Sensor Network for Underground Distribution Lines. Sensors, 19 (3)
dc.identifier.issn1424-8220es
dc.identifier.urihttps://hdl.handle.net/11441/83782
dc.description.abstractOne 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.es
dc.description.sponsorshipMinisterio 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-Res
dc.description.sponsorshipMinisterio de Educación, Cultura y Deporte, Government of Spain, for the funding of the scholarship Formación de Profesorado Universitario 2016 (FPU 2016)es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofSensors, 19 (3)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSensor networkes
dc.subjectSmart grides
dc.subjectPower line monitoringes
dc.subjectUnderground distribution lineses
dc.titleMonitoring and Fault Location Sensor Network for Underground Distribution Lineses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.projectIDTEC2013-40767-Res
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/19/3/576es
dc.identifier.doi10.3390/s19030576es
dc.contributor.groupUniversidad de Sevilla. TIC150: Tecnología Electrónica e Informática Industriales
idus.format.extent24es
dc.journaltitleSensorses
dc.publication.volumen19es
dc.publication.issue3es
dc.contributor.funderMinisterio de Economía y Competitividad (MINECO). España
dc.contributor.funderMinisterio de Educación, Cultura y Deporte (MECD). España

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Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional