• DocumentCode
    585886
  • Title

    Performance study of distributed state estimation algorithms on the HiPerDNO HPC platform

  • Author

    Lopatka, P. ; Salvini, S. ; Nusrat, N. ; De-Alvaro, L. ; Wallom, D.

  • fYear
    2012
  • fDate
    4-7 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents two distribution state estimation algorithms developed in the HiPerDNO project. The algorithms decompose the network into zones, for efficient parallel computation. We report on the algorithms, their implementation on a parallel system and their test and benchmark results.
  • Keywords
    distributed algorithms; distribution networks; parallel processing; power engineering computing; power system state estimation; HiPerDNO HPC platform; distributed state estimation algorithms; high performance computing technology; parallel system; Algorithm design and analysis; Educational institutions; MATLAB; Pipelines; Scalability; State estimation; MPI; distributed state estimation; high performance computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (UPEC), 2012 47th International
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-2854-8
  • Electronic_ISBN
    978-1-4673-2855-5
  • Type

    conf

  • DOI
    10.1109/UPEC.2012.6398567
  • Filename
    6398567
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=585886