• DocumentCode
    1180407
  • Title

    Online Risk-Based Security Assessment

  • Author

    Ni, Ming ; McCalley, James D. ; Vittal, Vijay ; Tayyib, T.

  • Author_Institution
    Iowa State University, USA; EPRI, USA
  • Volume
    22
  • Issue
    11
  • fYear
    2002
  • Firstpage
    59
  • Lastpage
    59
  • Abstract
    The work was motivated by a perceived increase in the frequency at which power system operators are encountering high stress in bulk transmission systems and the corresponding need to improve security monitoring of these networks. Online risk-based security assessment provides rapid online quantification of the security level associated with an existing or forecasted operating condition. One major advantage of this approach over deterministic online security assessment is that it condenses contingency likelihood and severity into indices that reflect probabilistic risk. Use of these indices in control room decision-making leads to increased understanding of potential network problems, including overload, cascading overload, low voltages, and voltage instability, resulting in improved security related decision-making. Test results on large-scale transmission models retrieved from the energy management system of a U. S. utility company are described.
  • Keywords
    Control systems; Costs; Decision making; Energy management; Power system modeling; Power system protection; Power system reliability; Power system security; System testing; Voltage control; Security assessment; cascading; control center; decision-making; operations; overload; probabilistic risk; uncertainty; voltage instability;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.2002.4311832
  • Filename
    4311832