• DocumentCode
    717834
  • Title

    Privacy Aware Demand Response and Smart Metering

  • Author

    Awad, Abdalkarim ; Bazan, Peter ; German, Reinhard

  • Author_Institution
    Peter Bazan & Reinhard German Comput. Networks & Commun. Syst., Univ. of Erlangen, Erlangen, Germany
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Smart meters are a crucial part of the smart grid, yet they arise several privacy concerns. The fine-grained consumption readings, can expose information about the household such as types of devices inside the house. In this paper we introduce two methods which enable a household to hide private issues. The first method, which is called One Level Consumption (OLC), tries to exploit demand response components such as battery, elastic load and distributed generators to maintain a constant consumption throughout the whole day. The second method, which is called Maximum Difference (MD), obfuscates the smart meter readings before sending them to the utility company. Nevertheless, the transmitted values are valid for billing. Taking Electric Vehicle (EV) charging signal as an example, we have shown that it is possible to hide most charging signals.
  • Keywords
    demand side management; smart meters; smart power grids; EV charging signal; MD; OLC; electric vehicle charging signal; maximum difference; one level consumption; privacy aware demand response; smart grid; smart meter readings; smart metering; utility company; Batteries; Conferences; Load modeling; Optimization; Privacy; Smart grids; Smart meters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7146032
  • Filename
    7146032