• 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