• DocumentCode
    1173346
  • Title

    Annual Risk Assessment for Overload Security

  • Author

    Dai, Yun ; McCalley, James D. ; Abi-Samra, N. ; Vittal, Vijay

  • Author_Institution
    Iowa State University, Ames, IA; Electric Power Research Institute, Palo Alto, CA
  • Volume
    21
  • Issue
    10
  • fYear
    2001
  • Firstpage
    59
  • Lastpage
    59
  • Abstract
    This paper presents an approach to assess the cumulative risk associated with overload security for the purposes of midterm power system planning. The work is motivated by a need to refine bulk power system reliability assessment to meet the needs of the restructured industry. There are two main contributions to the work. First, the assessment is performed over a year-long trajectory of hourly operating conditions, resulting in reliability assessment of all expected conditions and not just a limited number of snapshots. Secondly, the assessment is quantified by a risk index comprised of summed products of probability and consequence. This index is a good indicator of the actual reliability level, it is decomposable, and it can be effectively integrated into economic decision-making paradigms. The work is illustrated using the 1996 IEEE Reliability Test System.
  • Keywords
    Decision making; Economic indicators; Power generation economics; Power system economics; Power system planning; Power system reliability; Power system security; Refining; Risk management; System testing; Overload security; decision; planning; probabilistic risk; reliability; sequential trajectory;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.2001.4311085
  • Filename
    4311085