• DocumentCode
    1645722
  • Title

    Rule based algorithm for Plug-in Hybrid Electric Vehicles (PHEVs) integration in residential electric grid areas

  • Author

    Turker, Harun ; Hably, Ahmad ; Bacha, Seddik ; Chatroux, Daniel

  • Author_Institution
    Grenoble Electr. Eng. Lab. (G2ELab), Grenoble, France
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The Plug-in Hybrid Electric Vehicles (PHEVs) will strongly penetrate in the car fleet for the coming years. Based on databases of the houses Daily Loads Profiles (DLPs) build from real electricity consumption of domestic´s electrical devices, this paper determines the minimal load power of PHEVs which assures the complete recharge of batteries before the next reuse of vehicles while avoiding recharging during the peak hours. A Rule Based algorithm is developed which allows to PHEVs constructors to limit PHEVs charging current to 8A if they are charged at home. In match with different levels of the load powers existing in France, we recommend a maximum load power chargers for PHEVs charged in residential electric grid areas equals to 1840W (230V×8A) which ensures that 100% of the PHEVs batteries have a State of Charge (SOC) equals to 100% for the next use.
  • Keywords
    battery chargers; hybrid electric vehicles; power consumption; power grids; car fleet; daily loads profiles; domestic electrical devices; maximum load power chargers; minimal load power; plug-in hybrid electric vehicles integration; power 1840 W; real electricity consumption; residential electric grid areas; rule based algorithm; state of charge; Batteries; Databases; Electricity; Heuristic algorithms; Resistance heating; Subscriptions; System-on-a-chip; Daily Load Profile; Domestic electrical device; Plug-in Hybrid Electric Vehicle; Residential electric grid areas; Rule Based algorithm; State of Charge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-2158-8
  • Type

    conf

  • DOI
    10.1109/ISGT.2012.6175816
  • Filename
    6175816