Reference : Dynamic Prediction of Energy Delivery Capacity of Power Networks : Unlocking the Valu...
Scientific congresses and symposiums : Paper published in a journal
Engineering, computing & technology : Energy
http://hdl.handle.net/2268/112710
Dynamic Prediction of Energy Delivery Capacity of Power Networks : Unlocking the Value of Real-Time Measurements.
English
Schell, Peter [Ampacimon SA > > > >]
Jones, Lauren [Alstom Grid > > > >]
Mack, Philippe [Pepite SA > > > >]
Godard, Bertrand [Ampacimon SA > > > >]
Lilien, Jean-Louis mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Transport et distribution de l'énergie >]
Jan-2012
Proceedings of the third IEEE PES Conference on Innovative Smart Grid Technologies
IEEE
Yes
No
International
USA
Third IEEE PES Conference on Innovative Smart Grid Technologies
16-20 January 2012
IEEE PES Conference
Washington DC
USA
[en] power lines ; ampacity ; dynamic line rating
[en] This paper describes recent advances in prediction software using advanced data-mining tools, and shows how this can significantly increase the operational value of the data gathered. These new tools allow for new operational procedures to be defined that increase the usages of the network without decreasing security of supply. We will use the example of dynamic line rating, i.e. determining the thermal rating of an overhead line based on real-time environmental parameters (temperature, wind speed & direction and solar radiation) to highlight how the use of numerical data-mining tools can help us reliably predict future behavior of power networks.
http://hdl.handle.net/2268/112710

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
IEEE_ISGT_Washington_2012.pdfAuthor preprint302.12 kBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.