• DocumentCode
    2353018
  • Title

    Impacts of smart grid data on parallel path and contingency analysis efforts

  • Author

    Kavicky, James A.

  • Author_Institution
    Argonne Nat. Lab., Argonne, IL, USA
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Although a desirable attribute, not all operations models currently make use of real-time data for various reasons. To say the least, the regional scope and comprehensiveness that current data encompasses may be considered limited and incomplete. However, as computational, communication, security, and instrumentation technologies advance, smart grid technology demonstrates the potential to radically change network monitoring and data collection capabilities and advance simulation methods beyond that achievable given the current institutional environment. Because smart grid has the potential to conduct data collection in real time and to improve modeling and simulation results, potential data overload, validation, security, access, and other challenges are leading to new design opportunities. Similarly, we can expect significant impacts on system operation procedures and increased use of enhanced automation applications in operations decision making.
  • Keywords
    decision making; smart power grids; contingency analysis; data collection; decision making; smart grid data technology; Data management; interconnected power systems; power system monitoring; power system planning; power system reliability; power system security;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5588144
  • Filename
    5588144