• DocumentCode
    2053971
  • Title

    Use of embedded intelligence in tactical grids for energy surety and fuel conservation

  • Author

    Massie, D.D. ; Curtiss, P.S. ; Miller, M.A.

  • Author_Institution
    IPERC, Fort Montgomery, NY, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper describes a system for creating an energy-sharing infrastructure, effectively creating redundant sources of energy supply and significantly reducing the logistical burdens associated with providing power. An intelligent power management and power grid system has been developed and tested. This system optimizes performance and efficiency through local and system-level autonomous controls. The grid system was based on existing military, trailer-mounted, mobile power equipment. A reduction in fuel consumption of 36 percent was observed. In addition, prioritized load shedding was demonstrated as a means to prevent the generators from being overloaded.
  • Keywords
    control engineering computing; electric generators; embedded systems; graphical user interfaces; intelligent control; load shedding; military equipment; power apparatus; power engineering computing; power grids; power system management; embedded intelligence; energy supply sources; energy surety; energy-sharing infrastructure; fuel conservation; fuel consumption; generators; intelligent power management; load shedding; military equipment; mobile power equipment; power grid system; system-level autonomous controls; tactical grids; trailer-mounted eqipment; Computers; Cooling; Fuels; Generators; Heating; Monitoring; Software; Energy conservation; intelligent control; power optimization; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345122
  • Filename
    6345122