• DocumentCode
    1014197
  • Title

    Loadability in composite generation/transmission power-system reliability evaluation

  • Author

    Sharaf, T.A.M. ; Berg, Gunnar J.

  • Author_Institution
    Dept. of Electr. Power, Cairo Univ., Giza, Egypt
  • Volume
    42
  • Issue
    3
  • fYear
    1993
  • fDate
    9/1/1993 12:00:00 AM
  • Firstpage
    393
  • Lastpage
    400
  • Abstract
    An approach to composite (generation and transmission) power-system reliability evaluation that is based on contingency enumeration and on a simulation process to assess the system state is introduced. Using an AC load-flow model, the analysis starts with a nonlinear optimization procedure to determine system loadability. System characteristics, constraints, and operator intervention are taken into account. The nonlinear optimization procedure uses the modified augmented Lagrangian technique. Reliability indexes evaluated for the system and load buses are: loss of load probability (LOLP), (statistically) expected demand not served (EDNS), loss of voltage probability (LOVP), and (statistically) expected voltage violation (EVV). Sample numerical results are presented for the IEEE Reliability Test System
  • Keywords
    electric power generation; load flow; optimisation; power system reliability; power transmission; AC load-flow model; composite generation/transmission; contingency enumeration; expected demand not served; expected voltage violation; loss of load probability; loss of voltage probability; modified augmented Lagrangian technique; nonlinear optimization procedure; numerical results; power-system reliability evaluation; system loadability; AC generators; Load flow; Load flow analysis; Power generation; Power system management; Power system modeling; Power system planning; Power system reliability; Power transmission lines; Transformers;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.257822
  • Filename
    257822