• DocumentCode
    2133400
  • Title

    Introducing a new voltage time series approach for electrical power grid analysis

  • Author

    Maass, H. ; Çakmak, H.K. ; Suess, W. ; Quinte, A. ; Jakob, W. ; Müller, E. ; Boehm, K. ; Stucky, K.U. ; Kuehnapfel, U.

  • Author_Institution
    IAI, Karlsruhe Inst. of Technol., Karlsruhe, Germany
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    890
  • Lastpage
    895
  • Abstract
    Today´s power systems are changing rapidly in their functionality and dynamics. Advanced system state acquisition methods are required for a more sophisticated power grid control. Several challenges arise from this topic, and must be tackled in a highly interdisciplinary research area. At KIT we have constituted such an interdisciplinary team at SimLab Energy, which investigates new power grid analysis from a simulation-oriented perspective. Using the new concept we evaluate distributed voltage time series instead of recording phasor information only. In this article we describe the methods used for our approach. Combining new voltage scope units, new data mining methods, and large-scale database concepts with smart meter active power data we introduce a first step towards a more comprehensive energy grid system status framework.
  • Keywords
    data mining; power meters; power system simulation; power system state estimation; smart power grids; time series; SimLab energy; advanced system state acquisition methods; data mining methods; distributed voltage time series approach; electrical power grid analysis; energy grid system status framework; large-scale database; phasor information; power grid control; power systems; smart meter active power data; voltage scope units; Data models; Object oriented modeling; Power grids; Software; Solid modeling; Synchronization; Time series analysis; Power system analysis computing; power system simulation; smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
  • Conference_Location
    Florence
  • Print_ISBN
    978-1-4673-1453-4
  • Type

    conf

  • DOI
    10.1109/EnergyCon.2012.6348277
  • Filename
    6348277