• DocumentCode
    3022807
  • Title

    Optimal charging strategies of electric vehicles in the UK power market

  • Author

    Acha, Salvador ; Green, Tim C. ; Shah, Nilay

  • Author_Institution
    Dept. of Electr. Eng., Imperial Coll. London, London, UK
  • fYear
    2011
  • fDate
    17-19 Jan. 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In order to gain the most from their deployment, it is imperative for stakeholders to exploit the main benefits electric vehicles bring to utilities. Therefore, this paper focuses on the aspects required to model the management of electricity supply for electric vehicles. The framework presented details a time coordinated optimal power flow (TCOPF) tool to illustrate the tradeoffs distribution network operators (DNO) might encounter when implementing various load control approaches of electric vehicles. Within an UK context, a case study is performed where the TCOPF tool functions as the intermediary entity that coordinates cost-effective interactions between power markets, network operators, and the plugged vehicles. Results depict the stochastic but optimal charging patterns stakeholders might visualise from electric vehicles in local networks as they are operated to reduce energy and emission costs. Furthermore, results show current emission costs have a negligible weight in the optimisation process when compared to wholesale electricity costs.
  • Keywords
    costing; electric vehicles; power distribution economics; power markets; UK power market; current emission costs; distribution network operators; electric vehicles; optimal charging strategies; time coordinated optimal power flow; wholesale electricity costs; Batteries; Carbon dioxide; Coal; Electric vehicles; Electricity; Demand response services; distribution network operation; electric vehicles; fuel mix; load control; optimal power flow; storage modelling; wholesale electricity and carbon markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2011 IEEE PES
  • Conference_Location
    Hilton Anaheim, CA
  • Print_ISBN
    978-1-61284-218-9
  • Electronic_ISBN
    978-1-61284-219-6
  • Type

    conf

  • DOI
    10.1109/ISGT.2011.5759128
  • Filename
    5759128