• DocumentCode
    646448
  • Title

    Pricing long-term permits and scheduling of electric vehicle charging in parking lots with shared resources

  • Author

    Deshpande, A. ; Murali, Pramod

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2013
  • fDate
    17-19 July 2013
  • Firstpage
    3584
  • Lastpage
    3589
  • Abstract
    With the interest from car owners in going green being at an all-time high, electric vehicles (EVs) are flooding the automobile market. One of the primary concerns in owning an EV is the availability of charging infrastructure while away from home. There has been a renewed interest in managing and pricing the usage of shared commercial EV chargers, while maximizing the operator´s profits. Towards this end, we propose a combined pricing-scheduling quadratic integer programming (QIP) model that iteratively prices and schedules EV charging. A pricing module is used to accept/reject charging requests and control the right number and types (arrival-departure times, charge demand etc.) of EVs to charge. The scheduling module ensures that the demand can be met subject to price-demand sensitivity and other scheduling constraints. Once the EVs to be accepted have been finalized and their permit prices determined, the scheduling module can be run every night once the day-to-day arrival and departure times of each EV is revealed to the operator.
  • Keywords
    electric vehicles; integer programming; iterative methods; power system economics; pricing; quadratic programming; scheduling; QIP; automobile market; charge demand; charging infrastructure; charging requests; combined pricing-scheduling; electric vehicle charging scheduling; long-term permits; parking lots; price-demand sensitivity; pricing module; quadratic integer programming model; scheduling constraints; scheduling module; shared resources; Electricity; IP networks; Linear programming; Pricing; Schedules; Scheduling; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2013 European
  • Conference_Location
    Zurich
  • Type

    conf

  • Filename
    6669858