Cargando…
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...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387093/ https://www.ncbi.nlm.nih.gov/pubmed/30704066 http://dx.doi.org/10.3390/s19030576 |
_version_ | 1783397494010413056 |
---|---|
author | Parejo, Antonio Personal, Enrique Larios, Diego Francisco Guerrero, Juan Ignacio García, Antonio León, Carlos |
author_facet | Parejo, Antonio Personal, Enrique Larios, Diego Francisco Guerrero, Juan Ignacio García, Antonio León, Carlos |
author_sort | Parejo, Antonio |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6387093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63870932019-02-26 Monitoring and Fault Location Sensor Network for Underground Distribution Lines Parejo, Antonio Personal, Enrique Larios, Diego Francisco Guerrero, Juan Ignacio García, Antonio León, Carlos Sensors (Basel) Article 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. MDPI 2019-01-30 /pmc/articles/PMC6387093/ /pubmed/30704066 http://dx.doi.org/10.3390/s19030576 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Parejo, Antonio Personal, Enrique Larios, Diego Francisco Guerrero, Juan Ignacio García, Antonio León, Carlos Monitoring and Fault Location Sensor Network for Underground Distribution Lines |
title | 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_short | Monitoring and Fault Location Sensor Network for Underground Distribution Lines |
title_sort | monitoring and fault location sensor network for underground distribution lines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387093/ https://www.ncbi.nlm.nih.gov/pubmed/30704066 http://dx.doi.org/10.3390/s19030576 |
work_keys_str_mv | AT parejoantonio monitoringandfaultlocationsensornetworkforundergrounddistributionlines AT personalenrique monitoringandfaultlocationsensornetworkforundergrounddistributionlines AT lariosdiegofrancisco monitoringandfaultlocationsensornetworkforundergrounddistributionlines AT guerrerojuanignacio monitoringandfaultlocationsensornetworkforundergrounddistributionlines AT garciaantonio monitoringandfaultlocationsensornetworkforundergrounddistributionlines AT leoncarlos monitoringandfaultlocationsensornetworkforundergrounddistributionlines |