Enabling Autonomous Reconfiguration of Low Voltage Networks

dc.contributor.affiliationHeriot-Watt University
dc.contributor.affiliationHeriot-Watt University
dc.contributor.affiliationNotSoAnalytic Ltd.
dc.contributor.affiliationDerryherk Ltd.
dc.contributor.affiliationHeriot-Watt University
dc.contributor.affiliationSP Energy Networks
dc.contributor.affiliationSP Energy Networks
dc.contributor.authorMokhtar, Maizura
dc.contributor.authorRobu, Valentin
dc.contributor.authorWhyte, Jim
dc.contributor.authorHiggins, Ciaran
dc.contributor.authorFlynn, David
dc.contributor.authorFulton, Fiona
dc.contributor.authorLoughran, Caroline
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.countryUnited Kingdom
dc.contributor.detailedauthorMokhtar, Maizura , Heriot-Watt University, United Kingdom
dc.contributor.detailedauthorRobu, Valentin, Heriot-Watt University, United Kingdom
dc.contributor.detailedauthorWhyte, Jim, NotSoAnalytic Ltd., United Kingdom
dc.contributor.detailedauthorHiggins, Ciaran, Derryherk Ltd., United Kingdom
dc.contributor.detailedauthorFlynn, David, Heriot-Watt University, United Kingdom
dc.contributor.detailedauthorFulton, Fiona, SP Energy Networks, United Kingdom
dc.contributor.detailedauthorLoughran, Caroline, SP Energy Networks, United Kingdom
dc.date.accessioned2019-07-24T12:41:13Z
dc.date.available2019-07-24T12:41:13Z
dc.date.conferencedate3-6 June 2019
dc.date.issued2019-06-03
dc.description.abstractThe energy landscape for Low Voltage (LV) networks is changing. Due to embedded renewables, energy flows are increasingly bi-directional and the wider adoption of EVs and electrical heating are predicted to lead to increases in LV network load. These changes increase the burden and risk to LV networks, requiring the need for network reinforcements. Historically, LV networks are reinforced by adding more cables to the network or by manually re-configuring the network when warnings are reported. However, these solutions are likely to be insufficient in the future. A more active approach is required, which includes the ability to autonomously reconfigure the networks according to the local load. This is now feasible for LV networks because of the mass roll out of smart meters and the growing use of Geographical Information Systems (GIS) which collate information about network topology. This paper proposes a framework that enables the autonomous reconfiguration of the LV networks using these two key data sources.
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/20.500.12455/429
dc.identifier.urihttp://dx.doi.org/10.34890/655
dc.language.isoen
dc.publisherAIM
dc.relation.ispartProc. of the 25th International Conference on Electricity Distribution (CIRED 2019)
dc.relation.ispartofseriesCIRED Conference Proceedings
dc.titleEnabling Autonomous Reconfiguration of Low Voltage Networks
dc.title.number1510
dc.typeConference Proceedings
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