• DocumentCode
    2598469
  • Title

    Reliability evaluation algorithm of electrical power system using safety margin of current space pruning

  • Author

    Wan, Guan Quan

  • Author_Institution
    Guang Zhou Power Supply Bur., Guangzhou, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper introduces a kind of method for quickly calculating line current under emergency state. The safety margin index of line current is introduced. The index is used to identify the key lines affected by the tripping line and forecast the system multiple fault event. Based on above all, the reliability evaluation algorithm using state pruning based on margin of safety is proposed. The margin of safety index is applied to screening out failure events with small safety margin. It can effectively prun system failure state space and coordinate the conflict between speed and precision of event reliability analysis. The application shows that the method in this paper can not only effectively implement influence and pruning analysis of event reliability, but also reflect change relations of system reliability indices with safety margins of line currents. The critical value of safety margin in relation to the risk of cascading failure can be found out. It can provide reference to decision-making for preventing the occurrence of blackouts.
  • Keywords
    decision making; power system reliability; cascading failure; critical value; current space pruning; decision making; electrical power system; pruning analysis; reliability evaluation; safety margin; tripping line; Algorithm design and analysis; Decision making; Electrical safety; Failure analysis; Large-scale systems; Power system analysis computing; Power system faults; Power system protection; Power system reliability; State-space methods; algorithm; power system reliability; safety margin; state pruning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5347973
  • Filename
    5347973