• DocumentCode
    135933
  • Title

    Increasing distribution system model accuracy with extensive deployment of smart meters

  • Author

    Peppanen, Jouni ; Grimaldo, Jose ; Reno, Matthew J. ; Grijalva, Santiago ; Harley, Ronald G.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The advent of smart metering infrastructure has paved the way to enhance the accuracy of conventional distribution system models. However, the size and complexity of the smart meter data and information systems present new issues, including the cumbersome process of extracting and analyzing data from various data sources. The focus of this paper is to create a highly accurate distribution system model using Big Data from smart meters. It presents details on how traditional modeling can be improved by smart meter data as well as practical methods to make the data functional for analysis.
  • Keywords
    Big Data; data analysis; power distribution; power engineering computing; smart meters; Big Data; data analysis; data extraction; data sources; distribution system model accuracy; information systems; smart meter data; smart metering infrastructure; Accuracy; Data models; Integrated circuit modeling; Load modeling; Smart meters; Substations; Voltage measurement; Microgrids; Power Distribution; Power System Measurements; Power System Modeling; Smart Grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939840
  • Filename
    6939840