• DocumentCode
    821783
  • Title

    Unreliability cost assessment of an electric power system using reliability network equivalent approaches

  • Author

    Wang, Peng ; Billinton, Roy ; Goel, Lalit

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • Volume
    17
  • Issue
    3
  • fYear
    2002
  • fDate
    8/1/2002 12:00:00 AM
  • Firstpage
    549
  • Lastpage
    556
  • Abstract
    Unreliability cost evaluation of an entire power system provides a set of indexes which can be used by a system planner to balance the investments in different segments of the system in order to provide acceptable load point (LP) reliability. This paper utilizes reliability network equivalent techniques to evaluate the customer LP unreliability cost indexes caused by outages in different segments of the power system. The equivalent multistate generator (EMG), the equivalent multistate lateral section (EMLS), and the equivalent multistate series element (EMSE) are introduced. The percentage distribution of unreliability costs for system segments is determined to find the weak segments in the system. A test system is analyzed to illustrate the application of these techniques.
  • Keywords
    costing; load (electric); power system economics; power system faults; power system reliability; acceptable load point reliability; equivalent multistate generator; equivalent multistate lateral section; equivalent multistate series element; investments; outages; power system unreliability cost assessment; reliability network equivalent approaches; reliability worth evaluation; system planner; unreliability cost indexes; Costs; Electromyography; Failure analysis; Interconnected systems; Investments; Power generation; Power supplies; Power system analysis computing; Power system reliability; System testing;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2002.800873
  • Filename
    1033692