• DocumentCode
    2940923
  • Title

    Optimal electric vehicles to grid power control for active demand services in distribution grids

  • Author

    Giorgio, Alessandro Di ; Liberati, Francesco ; Canale, Silvia

  • Author_Institution
    Dept. of Comput., Control, & Manage. Eng. Antonio Ruberti, Sapienza Univ. of Rome, Rome, Italy
  • fYear
    2012
  • fDate
    3-6 July 2012
  • Firstpage
    1309
  • Lastpage
    1315
  • Abstract
    In this paper we outline a novel approach for the design of an electric vehicle (EV) aggregator, a controller whose objective is to optimally manage the charging operations of an EV fleet. The control strategy we derive is based on model predictive control and allows to achieve costs minimization, also enabling the aggregator (hence, the EV fleet) to participate to the provisioning of active demand services to upper level market players. Explicative simulations are presented and discussed in order to show the effectiveness of the approach and also to investigate the role of vehicle to grid power.
  • Keywords
    electric vehicles; power control; power grids; predictive control; EV fleet; active demand services; control strategy; controller; costs minimization; distribution grids; electric vehicle aggregator; grid power control; optimal electric vehicles; predictive control; vehicle to grid power; Batteries; Discharges (electric); Electricity; Minimization; Optimization; Substations; Vehicles; Electrical vehicles; active demand; demand side management; vehicle to grid power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2012 20th Mediterranean Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-2530-1
  • Electronic_ISBN
    978-1-4673-2529-5
  • Type

    conf

  • DOI
    10.1109/MED.2012.6265820
  • Filename
    6265820