• DocumentCode
    1803834
  • Title

    Competitive privacy in the smart grid

  • Author

    Sankar, Lalitha ; Kar, Soummya ; Poor, H. Vincent

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2012
  • fDate
    4-7 Nov. 2012
  • Firstpage
    1554
  • Lastpage
    1558
  • Abstract
    The requirement of wide-area monitoring in the deregulated electric grid is driving the need for distributed state estimation. This leads to a novel problem of competitive privacy amongst energy providers (operators) that captures the conflict between the need for collaboration to estimate the global system state with high fidelity (utility) and the need to withhold data (privacy) for competitive reasons. The precise tradeoff between utility and privacy is made explicit using rate distortion theory with privacy constraints for a two-operator network. Practical approaches are briefly discussed.
  • Keywords
    competitive intelligence; computerised monitoring; data privacy; electricity supply industry deregulation; smart power grids; competitive privacy; competitive reasons; distributed state estimation; electric grid deregulation; energy providers; global system state estimation; high fidelity; privacy constraints; rate distortion theory; smart grid; two-operator network; wide-area monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4673-5050-1
  • Type

    conf

  • DOI
    10.1109/ACSSC.2012.6489289
  • Filename
    6489289