State forecasting and operational planning for distribution network energy management systems

Simple item page
dc.contributor.authorHayes, Barry P.
dc.contributor.authorProdanovic, Milan
dc.contributor.funderSeventh Framework Programmeen
dc.contributor.funderMinisterio de Economía, Industria y Competitividad, Gobierno de Españaen
dc.date.accessioned2020-08-13T16:10:29Z
dc.date.available2020-08-13T16:10:29Z
dc.date.issued2015-10-30
dc.date.updated2020-08-13T14:19:58Z
dc.description.abstractThis paper describes the application of advanced metering infrastructure data for developing energy forecasting and operational planning services in distribution networks with significant distributed energy resources. This paper describes development of three services designed for use in distribution network energy management systems. These are comprised of a demand forecasting service, an approach for constraint management in distribution networks, and a service for forecasting voltage profiles in the low voltage network. These services could be applied as part of an advanced distribution network management system in order to improve situational awareness and provide early warning of potential network issues. The methodology and its applicability is demonstrated using recorded supervisory control and data acquisition and smart meter data from an existing medium voltage distribution network.en
dc.description.sponsorshipEuropean Commission (Marie Sklodowska-Curie researcher mobility action (FP7-PEOPLE-2013-COFUND), the SmartHG research project (FP7-ICT- 2011-8, ICT-2011.6.1)); Ministerio de Economía, Industria y Competitividad, Gobierno de España (Ministry of Economy and Competitiveness project RESmart (ENE2013-48690-C2-2-R))en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationHayes, B. P. and Prodanovic, M. (2016) 'State Forecasting and Operational Planning for Distribution Network Energy Management Systems', IEEE Transactions on Smart Grid, 7 (2), pp. 1002-1011. doi: 10.1109/TSG.2015.2489700en
dc.identifier.doi10.1109/TSG.2015.2489700en
dc.identifier.endpage1011en
dc.identifier.issn1949-3053
dc.identifier.issued2en
dc.identifier.journaltitleIEEE Transactions on Smart Griden
dc.identifier.startpage1002en
dc.identifier.urihttps://hdl.handle.net/10468/10394
dc.identifier.volume7en
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urihttps://ieeexplore.ieee.org/document/7313029
dc.rights© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectDistributed energy management systemsen
dc.subjectDemand forecastingen
dc.subjectAdvanced metering infrastructureen
dc.subjectPower system monitoringen
dc.subjectDistributed energy resourcesen
dc.subjectLoad modelingen
dc.subjectLoad managementen
dc.subjectDemand forecastingen
dc.subjectPredictive modelsen
dc.subjectPower system planningen
dc.subjectPower system managementen
dc.titleState forecasting and operational planning for distribution network energy management systemsen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
TSG_DEMS_final.pdf
Size:
2.06 MB
Format:
Adobe Portable Document Format
Description:
Accepted version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Electrical and Electronic Engineering - Journal Articles