• DocumentCode
    648055
  • Title

    Privacy preserving smart metering system based retail level electricity market

  • Author

    Thoma, Carsten ; Tao Cui ; Franchetti, F.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Smart metering systems in distribution networks provide near real-time, two-way information exchange between end users and utilities, enabling many advanced smart grid technologies. However, the fine grained real-time data as well as the various market functionalities also pose great risks to customer privacy. In this work we propose a secure multi-party computation (SMC) based privacy preserving smart metering system. Using the proposed SMC protocol, a utility is able to perform advanced market based demand management algorithms without knowing the actual values of private end user consumption and configuration data. Using homomorphic encryption, billing is secure and verifiable. We implemented a demonstration system that includes a graphical user interface and simulates real-world network communication of the proposed SMC-enabled smart meters. The demonstration shows the feasibility of our proposed privacy preserving protocol for advanced smart grid technologies which includes load management and retail level electricity market support.
  • Keywords
    demand side management; distribution networks; power markets; smart meters; smart power grids; demand management algorithms; distribution networks; graphical user interface; load management; privacy preserving smart metering system; retail level electricity market; secure multiparty computation; smart grid technologies; Electricity supply industry; Encryption; Load management; Privacy; Real-time systems; Smart grids; Cyber security; privacy preserving; retail electricity market; secure multiparty computation; smart metering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672616
  • Filename
    6672616