• DocumentCode
    1262527
  • Title

    Statistical Charging Load Modeling of PHEVs in Electricity Distribution Networks Using National Travel Survey Data

  • Author

    Rautiainen, A. ; Repo, S. ; Järventausta, P. ; Mutanen, A. ; Vuorilehto, K. ; Jalkanen, K.

  • Author_Institution
    Dept. of Electr. Energy Eng., Tampere Univ. of Technol., Tampere, Finland
  • Volume
    3
  • Issue
    4
  • fYear
    2012
  • Firstpage
    1650
  • Lastpage
    1659
  • Abstract
    In this paper, statistical charging load modeling of plug-in hybrid electric vehicles (PHEVs) in electricity distribution networks is studied. Usefulness of National Travel Survey data in the modeling is investigated, and a novel modeling methodology is proposed where detailed car use habits are taken into account and statistical distributions of charging energies can be produced. Using the modeling methodology some example calculation results of a Finnish case study are presented with further analysis and sensitivity studies. The example calculations are made mostly from viewpoint of the Finnish distribution networks and their modeling traditions but the method can be applied internationally when relevant travel survey data is available. Example calculations are analyzed in order to assess reasonability and practical usability of the models. The models produced by the methodology can easily be used in network calculation tools commonly used by distribution network operators.
  • Keywords
    distribution networks; hybrid electric vehicles; statistical distributions; PHEV; electricity distribution networks; national travel survey data; network calculation tools; plug-in hybrid electric vehicles; practical usability; statistical charging load modeling; statistical distributions; Batteries; Data models; Electricity; Gaussian distribution; Hybrid electric vehicles; Load modeling; Electric vehicle; electricity distribution networks; load modeling; plug-in hybrid electric vehicle (PHEV); travel survey;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2012.2206411
  • Filename
    6265354