• DocumentCode
    41581
  • Title

    Synergistic control of plug-in vehicle charging and wind power scheduling

  • Author

    Chiao-Ting Li ; Changsun Ahn ; Huei Peng ; Jing Sun

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Michigan, Ann Arbor, MI, USA
  • Volume
    28
  • Issue
    2
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    1113
  • Lastpage
    1121
  • Abstract
    Significant synergy exists between plug-in electric vehicles (PEVs) and wind energy: PEVs can be the demand response to mitigate the intermittent wind power outputs, and wind energy can provide low-carbon electricity to PEVs. This paper presents a hierarchical control algorithm to realize this synergy by integrating the PEV charging and wind power scheduling. The control algorithm consists of three levels: the top-level controller optimizes the scheduling for the conventional power plants and wind power; the middle-level controller plans PEV charging to achieve load following based on the battery state of charge and plug-off time of each vehicle; the bottom-level controller uses grid electricity frequency as the feedback cue to control PEV charging and serves as the ancillary service to the grid. Numerical simulations show that the integrated controller can improve the grid frequency regulation and overall electricity generation cost without sacrificing the PEVs charging completion.
  • Keywords
    battery powered vehicles; costing; power generation control; power generation economics; power generation scheduling; power grids; wind power plants; PEV charging control; ancillary service; battery state-of-charge; bottom-level controller; conventional power plants; demand response; feedback cue; grid electricity frequency; grid frequency regulation; hierarchical control algorithm; integrated controller; intermittent wind power output mitigation; low-carbon electricity; middle-level controller; overall electricity generation cost; plug-in vehicle charging; synergistic control; top-level controller; vehicle plug-off time; wind energy; wind power scheduling; Electric vehicles; Optimal scheduling; Power grids; Wind energy; Wind forecasting; Wind power generation; Charging of electric vehicles; electricity grid; grid integration; plug-in electric vehicles; smart grid; wind energy;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2012.2211900
  • Filename
    6299004