• DocumentCode
    2530967
  • Title

    Transforming power grid operations via high performance computing

  • Author

    Huang, Zhenyu ; Nieplocha, Jarek

  • Author_Institution
    Battelle-Pacific Northwest Nat. Lab., Richland, WA
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Past power grid blackout events revealed the inadequacy of grid operations software when handling adverse situations, to a large degree due to its low computational efficiency. High performance computing (HPC) promises a solution to this problem. In addition, the HPC technology becomes necessary to take advantage of parallel computing platforms as the computer industry is undergoing a significant change from the traditional single-core processors to multi-core based computing platforms. HPC can improve todaypsilas key grid operation functions like state estimation and contingency analysis and reduce the solution time from minutes to seconds, comparable to SCADA measurement cycles. HPC also enables the integration of dynamic analysis into real-time grid operations. Dynamic state estimation, look-ahead dynamic simulation and real-time dynamic contingency analysis would be three crucial dynamic functions in future control centers. HPC provides opportunities for developing better decision support tools, which also need HPC support to handle large volume of data and large number of cases. Given the complexity of the grid and the sheer number of possible configurations, we argue that HPC will be an indispensible element in the next generation control centers.
  • Keywords
    SCADA systems; power engineering computing; power grids; SCADA measurement cycles; computer industry; contingency analysis; decision support tools; grid operations software; high performance computing; multicore based computing; parallel computing platforms; power grid blackout; real-time dynamic contingency analysis; real-time grid operations; state estimation; transforming power grid operations; Analytical models; Computational efficiency; Computational modeling; Computer industry; Concurrent computing; High performance computing; Parallel processing; Power grids; State estimation; Time measurement; Contingency Analysis; Control Centers; Dynamic Simulation; High Performance Computing; Parallel Computing; Power Grid Operations; Power System Blackouts; State Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596063
  • Filename
    4596063