• DocumentCode
    584233
  • Title

    Fast Precise Distributed Control for Energy Demand Management

  • Author

    Beal, Jacob ; Berliner, Jeffrey ; Hunter, Kevin

  • Author_Institution
    Raytheon BBN Technol., Cambridge, MA, USA
  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    Fast and precise demand shaping is critical for the electrical power grid. With residential and small-business customers, a distributed approach to demand shaping is desirable for reasons of scalability and of privacy. The Color Power architecture [1] provides such an approach, but the controller previously used was badly limited. We now present an improved control algorithm, Color Power 2.0, based on stochastic constraint satisfaction, which provides major improvements in capability and performance over the prior algorithm. Analysis shows that its performance is within a small constant factor of optimal, and these results are confirmed empirically on simulated networks of 100 to 1 million devices.
  • Keywords
    constraint satisfaction problems; control engineering computing; demand side management; distributed control; power grids; ColorPower 2.0 architecture; demand shaping; electrical power grid; energy demand management; fast precise distributed control; improved control algorithm; optimal small constant factor; privacy reasons; residential customers; scalability reasons; simulated networks; small-business customers; stochastic constraint satisfaction; Algorithm design and analysis; Color; Convergence; Resource management; Steady-state; Switches; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Self-Adaptive and Self-Organizing Systems (SASO), 2012 IEEE Sixth International Conference on
  • Conference_Location
    Lyon
  • ISSN
    1949-3673
  • Print_ISBN
    978-1-4673-3126-5
  • Type

    conf

  • DOI
    10.1109/SASO.2012.12
  • Filename
    6394125