• DocumentCode
    2378380
  • Title

    State Estimator (SE) Implementation On a Distributed Computer System

  • Author

    Cieslicki, D. ; Schvvarz, T.

  • Author_Institution
    Santa Clara Univ., Santa Clara
  • fYear
    2007
  • fDate
    Sept. 30 2007-Oct. 2 2007
  • Firstpage
    399
  • Lastpage
    405
  • Abstract
    In modern Power Control Centers, the State Estimator application is responsible for determining the actual state of a power network based on the current network model, the available telemetry (analog measurements and digital statuses) and pseudo-measurements (scheduling patterns and data manually entered by the operator). At present each control center runs its own version of a State Estimator. We propose that it is much more economical to run one grid-wide State Estimator at one site and just exchange input and output data with the individual control centers. In this paper we describe the architecture for a Highly Available Distributed RAM (HADRAM) system that can provide the necessary computational power and reliability.
  • Keywords
    control engineering computing; control facilities; power distribution reliability; power engineering computing; power grids; power system control; power system state estimation; HADRAM system; Highly Available Distributed RAM; control centers; distributed computer system; grid-wide state estimator; power control centers; power network; state estimator implementation; Application software; Current measurement; Distributed computing; Power control; Power measurement; Power system modeling; Power system reliability; Processor scheduling; State estimation; Telemetry; data communication; data management; distributed random access memory; erasure correcting codes; in-memory-databases; network data exchange; power system control; power system modeling; scalable distributed data structure; service oriented architecture (SOA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Symposium, 2007. NAPS '07. 39th North American
  • Conference_Location
    Las Cruces, NM
  • Print_ISBN
    978-1-4244-1726-1
  • Electronic_ISBN
    978-1-4244-1726-1
  • Type

    conf

  • DOI
    10.1109/NAPS.2007.4402341
  • Filename
    4402341