• DocumentCode
    1526703
  • Title

    Online dynamic security assessment in an EMS

  • Author

    Ejebe, G.C. ; Jing, C. ; Waight, J.G. ; Vittal, V. ; Pieper, G. ; Jamshidian, F. ; Hirsch, P. ; Sobajic, D.

  • Author_Institution
    Oper. Planning Unit, Siemens Power Syst. Control, Brooklyn Park, MI, USA
  • Volume
    11
  • Issue
    1
  • fYear
    1998
  • fDate
    1/1/1998 12:00:00 AM
  • Firstpage
    43
  • Lastpage
    47
  • Abstract
    System stability analysis results have been part of electric utilities´ operating guidelines for move than a decade. Today, these guidelines are compiled from offline stability studies conducted jointly with other utilities and independently by each utility. The offline study results are adjusted for actual generation patterns and network conditions, based on sensitivity analysis, and presented to operators through the energy management system (EMS). These stability limits tend to be conservative for normal conditions and may indeed be inaccurate following unusual system events. The offline study scope expands each year as more significant variables are identified. Limits derived from the offline studies also require extensive engineering analysis trying to anticipate conditions which may never occur. A better alternative is to compute these limits online, based on actual operating conditions. A dynamic security assessment (DSA) function implemented in an EMS environment would improve reliability, identify additional energy transaction potential and result in better use of engineering resources. This article presents DSA functional features and an implementation of an online DSA function under development at Siemens Power Systems Control under a collaborative sponsorship of EPRI and Northern States Power Company
  • Keywords
    load management; power system analysis computing; power system reliability; power system security; power system stability; power system transients; EMS; EPRI; Northern States Power Company; Siemens Power Systems Control; collaborative sponsorship; energy management system; energy transaction potential; online dynamic security assessment; reliability improvement; system stability analysis; transient stability; Energy management; Guidelines; Medical services; Power engineering and energy; Power industry; Power system dynamics; Reliability engineering; Security; Sensitivity analysis; Stability analysis;
  • fLanguage
    English
  • Journal_Title
    Computer Applications in Power, IEEE
  • Publisher
    ieee
  • ISSN
    0895-0156
  • Type

    jour

  • DOI
    10.1109/67.648499
  • Filename
    648499