FAULT DETECTION IN LOW VOLTAGE NETWORKSWITH SMART METERS AND MACHINE LEARNING TECHNIQUES

dc.contributor.affiliationEDP España
dc.contributor.affiliationOVIEDO UNIVERSITY
dc.contributor.affiliationOVIEDO UNIVERSITY
dc.contributor.affiliationEDP España
dc.contributor.authorVAZQUEZ, TANIA
dc.contributor.authorPEREZ, PABLO
dc.contributor.authorDIEZ, JORGE
dc.contributor.authorFERNÁNDEZ, JESÚS
dc.contributor.countrySpain
dc.contributor.countrySpain
dc.contributor.countrySpain
dc.contributor.countrySpain
dc.contributor.detailedauthorVAZQUEZ, TANIA, EDP España, Spain
dc.contributor.detailedauthorPEREZ, PABLO , OVIEDO UNIVERSITY, Spain
dc.contributor.detailedauthorDIEZ, JORGE, OVIEDO UNIVERSITY, Spain
dc.contributor.detailedauthorFERNÁNDEZ, JESÚS, EDP España, Spain
dc.date.accessioned2019-07-24T12:37:44Z
dc.date.available2019-07-24T12:37:44Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractSmart grid data analytics and artificial intelligence techniques are playing an increasingly critical role, becoming the focal point to understanding low voltage real-time grid performance. This new point of view, (advanced analytics in combination with electrical knowledge expertise), makes flexibility and efficiency in electrical grid management approach real. HDCE (Hidrocantábrico Distribución Eléctrica) is the Electrical Distribution System Operator for EdP (Electricity of Portugal) around Spain who supplies energy to 650.000 customers. Starting from 2012, this company has nowadays replaced 99% of traditional meters by smart meters. Based on the analysis of smart metering voltage alarms, recorded from EdP LV distribution network, an automatic learning system has been implemented that groups and orders these alarms helping the grid distribution operator to drive the network technicians to the right and more urgent places where a grid failure is happening, starts to happen or will happen.
dc.description.conferencelocationMadrid, Spain
dc.description.conferencenameCIRED 2019
dc.description.openaccessYes
dc.description.peerreviewedYes
dc.description.sessionOperation, control and protection
dc.description.sessionidSession 3
dc.identifier.isbn978-2-9602415-0-1
dc.identifier.issn2032-9644
dc.identifier.urihttps://cired-repository.org/handle/20.500.12455/170
dc.identifier.urihttp://dx.doi.org/10.34890/333
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleFAULT DETECTION IN LOW VOLTAGE NETWORKSWITH SMART METERS AND MACHINE LEARNING TECHNIQUES
dc.title.number851
dc.typeConference Proceedings
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