• DocumentCode
    3362178
  • Title

    Simulation analysis for the design of high performance smart meter

  • Author

    Bondarenko, Dmitry ; Gaber, H.

  • Author_Institution
    Inst. of Technol., Fac. of Energy Syst. & Nucl. Sci., Univ. of Ontario, Oshawa, ON, Canada
  • fYear
    2012
  • fDate
    27-29 Aug. 2012
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    The key performance indicators of the available utility monitoring systems for electricity, water and natural gas, to present day are often limited to the values of how much does the end user consume, and what the price for consumption is. The evolving intelligent power meters are aimed at providing the utility companies and the end users with information useful for optimal consumption without significantly changing lifestyles. The key performance indicators of the smart meters, however, are often limited to simply observing the consumption trends. In this paper, a simulation model is developed to support the design of high performance smart meters. The key highlights of the intelligent smart meters were set to be modularity, scheduling, and inter-connectivity of the information for the three utilities. This paper is intended to indicate the significant performance indicators relevant to the emerging intelligent metering devices.
  • Keywords
    smart meters; electricity; end users; information interconnectivity; information modularity; information scheduling; intelligent power meters; key performance indicators; natural gas; simulation analysis; smart meter design; utility monitoring systems; water; Artificial intelligence; Companies; Electricity; Home appliances; Market research; Monitoring; Sensors; Smart meter simulation; meter performance analysis; smart meter design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Engineering (SGE), 2012 IEEE International Conference on
  • Conference_Location
    Oshawa, ON
  • Print_ISBN
    978-1-4673-4457-9
  • Electronic_ISBN
    978-1-4673-4456-2
  • Type

    conf

  • DOI
    10.1109/SGE.2012.6463961
  • Filename
    6463961