• DocumentCode
    3665632
  • Title

    Real-time scheduling of electric vehicles for ancillary services

  • Author

    Frederik Juul;Matias Negrete-Pincetic;Jason MacDonald;Duncan Callaway

  • Author_Institution
    Energy Resources Group at the University of California, Berkeley, USA
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This work is part of a project that aims to demonstrate the concept of Vehicle-to-Grid (V2G) with an operational fleet. A fleet of electric vehicles is operated with the objective of providing regulation services to the grid. The focus of this paper is on the real-time operation of the fleet. Specifically, given an optimal trajectory for the vehicle state of charge, schemes for distributing the regulation power commands among the vehicles are tested. A scheme based on a convex optimization problem is proposed. Several numerical illustrations and simulations show the effectiveness of the scheme respect to common scheduling heuristics in terms of accuracy.
  • Keywords
    "Vehicles","Trajectory","Real-time systems","Batteries","Frequency control","Accuracy","Automatic generation control"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7286093
  • Filename
    7286093