• DocumentCode
    3457461
  • Title

    Management of PHEV charging from the smart grid using sensor web services

  • Author

    Asad, Omar ; Erol-Kantarci, Melike ; Mouftah, Hussein T.

  • Author_Institution
    Sch. of Inf. Technol. & Eng., Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2011
  • fDate
    8-11 May 2011
  • Abstract
    Plug-in Hybrid Electric Vehicles (PHEVs) have less fossil- fuel dependency, lower carbon emissions and lower operating costs than the conventional vehicles. On the other hand, wide adoption of PHEVs is expected to increase the load on the power grid. Sensor web services have recently emerged as promising tools that can provide remote management, data collection and querying capabilities for the sensor networks in the smart grid. In this paper, we use sensor web services for management PHEV charging in order to increase the administration ability of the utility over load and increase the control of the consumer on her energy expenses. In our application, the driver can remotely access the State of Charge (SOC) of her vehicle, provide a destination address and query cost and emissions for alternative fuel options. Moreover, the application communicates with the utility web services, learns the advertised critical peak periods and avoids charging the vehicle during those periods to protect the grid. We show that our scheme reduces driver expenses and vehicle emissions while providing an acceptable SOC level. In addition, we show that the application is efficient in terms of completion time and the code sizes are suitable for a sensor node.
  • Keywords
    Web services; battery chargers; battery powered vehicles; hybrid electric vehicles; power engineering computing; smart power grids; wireless sensor networks; PHEV charging; driver expenses; plug-in hybrid electric vehicles; sensor Web services; sensor networks; smart grid; vehicle emissions; vehicle state of charge; Batteries; Electricity; Smart grids; Vehicles; Web servers; carbon emission; critical peak period; plug-in hybrid electric vehicle; sensor web service; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-9788-1
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2011.6030662
  • Filename
    6030662