• DocumentCode
    656713
  • Title

    Congestion management for urban EV charging systems

  • Author

    Rigas, Emmanouil S. ; Ramchurn, Sarvapali D. ; Bassiliades, Nick ; Koutitas, George

  • Author_Institution
    Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • fYear
    2013
  • fDate
    21-24 Oct. 2013
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    We consider the problem of managing Electric Vehicle (EV) charging at charging points in a city to ensure that the load on the charging points remains within the desired limits while minimizing the inconvenience to EV owners.We develop solutions that treat charging points and EV users as self-interested agents that aim to maximize their profit and minimize the impact on their schedule. In particular, we propose variants of a decentralised and dynamic approach as well as an optimal centralised static approach. We evaluated these solutions in a real setting based on the road network and the location of parking garages of a UK city and show that the optimal centralised (nondynamic) solution manages the congestion the best but does not scale well, while the decentralised solutions scale to thousands of agents.
  • Keywords
    battery powered vehicles; energy management systems; UK city; congestion management; decentralised approach; dynamic approach; electric vehicle; optimal centralised static approach; parking garage location; road network; self-interested agent; urban EV charging system; Batteries; Cities and towns; Load management; Pricing; Resource management; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2013.6687944
  • Filename
    6687944