DocumentCode
662355
Title
Integrating smart meter and electric vehicle charging data to predict distribution network impacts
Author
Neaimeh, Myriam ; Hill, Graeme ; Blythe, Phil ; Wardle, Robin ; Jialiang Yi ; Taylor, Phil
Author_Institution
Transp. Oper. Res. Group, Newcastle Univ., Newcastle upon Tyne, UK
fYear
2013
fDate
6-9 Oct. 2013
Firstpage
1
Lastpage
5
Abstract
The North East of England is hosting two internationally leading trials of electric vehicles (EVs) and smart grid applications. These trials are enabling the region to be pioneering in the understanding of the practical use and deployment of low carbon technologies (LCTs) and their impact on UK electrical power networks. This paper describes a significant integration of these large scale trials, whereby EV charging behaviour data, household electricity demand patterns, and models of trial distribution networks are brought together in a unique study of the effect of all-electric vehicles on rural and urban distribution networks.
Keywords
distribution networks; electric vehicles; smart meters; smart power grids; England; LCT; United Kingdom; distribution network; electric vehicle charging data; electrical power networks; household electricity demand patterns; load profiles; low carbon technologies; smart grid; smart meter; Data models; Load modeling; Sociology; Statistics; Switches; System-on-chip; Vehicles; Electric vehicles; distribution network analysis; large scale demonstrations; load profiles; user behaviour;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
Conference_Location
Lyngby
Type
conf
DOI
10.1109/ISGTEurope.2013.6695238
Filename
6695238
Link To Document