• DocumentCode
    3199528
  • Title

    A Penny Saved is a Penny Earned: Applying Optimization Techniques to Power Management

  • Author

    Javed, Fahad ; Arshad, Naveed

  • Author_Institution
    DHA, LUMS Sch. of Sci. & Eng., Lahore
  • fYear
    2009
  • fDate
    14-16 April 2009
  • Firstpage
    128
  • Lastpage
    137
  • Abstract
    Shortage of electricity is a major problem in many developing countries. Unfortunately, for some of these countries the only solution to this problem is to shut down complete electricity supply to a few neighborhoods to make up for the gap between demand and supply. To this end, we have developed a self-optimization approach to reduce the gap between demand and supply through remotely controlling high powered electric devices such as air conditioners. In this approach we have used mathematical optimization techniques such as linear programming to intelligently manage the electricity distribution. Not only through this approach we have been able to provide service-level guarantees to the consumers but we have also shown that our approach is fast, scalable and has the ability to handle unscheduled spikes in the system.
  • Keywords
    demand side management; electricity supply industry; linear programming; power system management; supply and demand; electricity shortage; electricity supply; linear programming; mathematical optimization technique; power management; self-optimization approach; Conferences; Costs; Energy consumption; Energy management; Linear programming; Optimization methods; Power engineering and energy; Power system management; Supply and demand; Uninterruptible power systems; linear programming; mathematical modeling; power management; self-optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering of Computer Based Systems, 2009. ECBS 2009. 16th Annual IEEE International Conference and Workshop on the
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-0-7695-3602-6
  • Type

    conf

  • DOI
    10.1109/ECBS.2009.10
  • Filename
    4839239