• DocumentCode
    1643707
  • Title

    Analytics for distributed smart Grid sensing

  • Author

    Afzal, Muhammad ; Pothamsetty, Venkat

  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Sensors have a vital role to play across the utility grid, across the “turbine to toaster” utility supply chain, generation, transmission distribution; and across the functional workflows in a utility - planning, operations, asset management, dispatch etc. Traditionally, sensors have not ben installed beyond substations and lately several utilities are pushing sensors on to the MV feeder line. This paper focuses on analytics for such distributed sensors. This paper is organized in the following way: First, we present the importance of distributed sensing and the benefits of it. Second we describe the techniques that are relevant for analytics distributed sensing. Third, we will use the techniques for event classification in distributed sensing. Finally, we will use the techniques for event location detection in distributed sensing.
  • Keywords
    distributed sensors; fault location; signal classification; smart power grids; analytics distributed sensing; distributed smart grid sensing; event classification; event location detection; Discrete wavelet transforms; Fault location; Intelligent sensors; Wavelet analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-2158-8
  • Type

    conf

  • DOI
    10.1109/ISGT.2012.6175733
  • Filename
    6175733