• DocumentCode
    135140
  • Title

    Assessing electric vehicle distributed energy resource potential and transport energy requirement constraints

  • Author

    Mills, Greg ; MacGill, Iain

  • Author_Institution
    Sch. of Electr. Eng., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    One source of potential benefit for the electricity industry from the integration of electric vehicles is the potential for the aggregate storage within vehicle batteries to act as a Distributed Energy Resource to assist power system operation. This resource however, is subject to a set of constraints related to both the availability of recharging infrastructure and the underlying transport needs of vehicle owners. This paper explores the impact of charging infrastructure availability and vehicle travel requirements on the temporal Distributed Energy Resource potential characteristic. In particular, a method of constructing a vehicle Transport Energy Requirement Constraint from existing Battery State of Charge profiles and vehicle trip information is introduced and applied in a case study of vehicle travel in the Sydney Greater Metropolitan Area to illustrate the results obtained. The availability of recharging infrastructure is found to have a significant impact on both the temporal characteristic of Transport Energy Reservation requirement and the Distributed Energy Resource potential available to the power system from electric vehicle batteries.
  • Keywords
    battery powered vehicles; power systems; aggregate storage; battery state of charge profiles; electric vehicle batteries; electric vehicle distributed energy resource potential assessment; electricity industry; power system operation; recharging infrastructure availability; temporal distributed energy resource potential characteristic; transport energy requirement constraints; vehicle transport energy requirement constraint; vehicle trip information; Availability; Batteries; Density estimation robust algorithm; Electric potential; Electricity; System-on-chip; Vehicles; Demand Side Participation; Distributed Energy; EV; Electric Vehicle; PHEV; Power System Planning; V2G;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939142
  • Filename
    6939142