• DocumentCode
    267591
  • Title

    Aggregated electric vehicles load profiles with fast charging stations

  • Author

    Celli, G. ; Soma, G.G. ; Pilo, F. ; Lacu, F. ; Mocci, S. ; Natale, N.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Cagliari, Cagliari, Italy
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The concept of electrical-mobility in opposition to the present oil-mobility is becoming even more attractive worldwide. Fast Charging Station (FCS) refers charging stations with nominal power equal or higher than 50 kW. The impacts of EV charging on electricity grids is becoming an increasingly important subject of study, but detailed knowledge about the future charging profiles of EVs appears to be missing in Literature. The FCS requires high power and they must be connected to MV networks. For that reasons, it is crucial to analyze these situations and to model the FCS consumption, in order to correctly plan the expansion of the MV system. In the paper a Monte Carlo simulation methodology is proposed to model the aspects that influence the request of fast charge for EVs. The EV charge profiles should be used in the planning and in the EV impact analysis of the future networks.
  • Keywords
    Monte Carlo methods; electric vehicles; power distribution planning; FCS consumption; MV system expansion planning; Monte Carlo simulation; aggregated electric vehicles load profiles; distribution planning; electrical-mobility concept; electricity grids; fast charging stations; future charging profiles; oil-mobility; power 50 kW; Batteries; Charging stations; Monte Carlo methods; Planning; Probabilistic logic; System-on-chip; Vehicles; Distribution Planning; Electric Vehicles; Fast Charging Station; Monte Carlo simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Computation Conference (PSCC), 2014
  • Conference_Location
    Wroclaw
  • Type

    conf

  • DOI
    10.1109/PSCC.2014.7038402
  • Filename
    7038402