• DocumentCode
    1813601
  • Title

    The case for open-source PEV charge management data framework

  • Author

    Markel, Tony ; Kuss, Mike ; Foster, Justin ; Manz, Devon ; Mahony, Michael ; Nielsen, Matthew ; Reid, Andrew ; Wilk, Richard D.

  • Author_Institution
    Center for Transp. Technol. & Syst., Nat. Renewable Energy Lab., Golden, CO, USA
  • fYear
    2012
  • fDate
    4-8 March 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The future growth of electrified transportation could be enhanced through interaction with smart grid system architectures. This paper summarizes current literature regarding plug-in electric vehicle - renewables integration and highlights areas of need to implement such integration at a multi-utility scale. Future smart grid implementations hold the key to transferring information and control parameters between distributed and centralized decision agents. The discussion highlights the opportunity to leverage federal investments in grid renovation and electric vehicle introduction to create system-wide value from improved reliability and reduced fossil fuel consumption. An approach to scaling a previously defined “green signal” methodology for electric vehicles will be detailed across a utility grid balancing region. The research will include a synopsis of the communications opportunities and challenges of coordinating the responses of many resources. The results are expected to show that, with some variation in the charge profiles of individual vehicles, the aggregate set can interface with grid management methods to significantly influence the ability to integrate distributed and centralized renewables to improve environmental quality.
  • Keywords
    battery powered vehicles; renewable energy sources; electric vehicle introduction; electrified transportation; grid renovation; multi-utility scale; open-source PEV charge management data framework; plug-in electric vehicle; renewables integration; smart grid implementations; smart grid system architectures; Electric vehicles; Electricity; Green products; Real time systems; Renewable energy resources; Smart grids; control systems; electric vehicles; renewable energy integration; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2012 IEEE International
  • Conference_Location
    Greenville, SC
  • Print_ISBN
    978-1-4673-1562-3
  • Type

    conf

  • DOI
    10.1109/IEVC.2012.6183210
  • Filename
    6183210