• DocumentCode
    140436
  • Title

    Plug-In Electric Vehicles - Distribution system impacts and high level screening methodologies for calculating costs and benefits

  • Author

    Jain, Himanshu ; Kumaraswamy, Kiran ; Maurya, Rakesh N.

  • Author_Institution
    ICF Int., Fairfax, VA, USA
  • fYear
    2014
  • fDate
    19-22 Feb. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Plug-In Electric Vehicles (PEVs) present an interesting dilemma for utilities - on one hand charging of EVs can result in overloading of distribution transformers requiring expensive upgrades, on the other increased electricity sales can increase a utility´s revenue; knowledge of both is essential in successfully integrating PEVs with the distribution system. In this paper we present a high-level screening methodology for identifying the reliability impact of PEVs on the distribution system; developing estimates of the distribution system upgrade costs; and calculating revenue potential of PEVs, and demonstrate its application on a prototype test feeder with characteristics typical of suburban and rural 12.47 kV feeders found on the west coast (including Northern California) of the US. The methodology presented here can assist utility executives and policy makers in short listing the most suitable policy alternatives/rate structures for a detailed cost/benefit analysis. The policies/rate structures so developed can encourage the adoption of PEVs while minimizing their adverse impact on the electric grid.
  • Keywords
    distribution networks; electric vehicles; distribution system impacts; distribution transformers; electric grid; high level screening methodologies; plug-in electric vehicles; Analytical models; Data models; Electricity; Load modeling; Oil insulation; Prototypes; Reliability; Distribution Feeder; Distribution Transformers; Overloads; Plug-In Electric Vehicles; Revenue Impact; Upgrade Cost;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Conference (ISGT), 2014 IEEE PES
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/ISGT.2014.6816436
  • Filename
    6816436