• DocumentCode
    771483
  • Title

    A new approach to reliability evaluation of interconnected power systems including planned outages and frequency calculations

  • Author

    Deng, Zhong ; Singh, Chanan

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    7
  • Issue
    2
  • fYear
    1992
  • fDate
    5/1/1992 12:00:00 AM
  • Firstpage
    734
  • Lastpage
    743
  • Abstract
    The authors present an approach for reliability evaluation of interconnected power systems. In addition to the loss of load probability and expected unserved energy, the frequency of loss of load can also be computed efficiently. This approach can include the planned outages of generating units in a very efficient manner. The state space over all maintenance intervals and load states is considered simultaneously by using the concept of a reference load state and an equivalent composite generation model, and a decomposition-simulation procedure is performed on this state space. This allows the development of a very fast algorithm and efficient storage utilization. Sample studies are presented to show that this algorithm is as accurate as the previous one but many times faster
  • Keywords
    electric generators; electrical faults; load (electric); maintenance engineering; power system interconnection; probability; reliability; algorithm; development; equivalent composite generation model; expected unserved energy; frequency calculations; generating units; interconnected power systems; loss of load probability; maintenance intervals; planned outages; reliability; state space; Frequency; Integrated circuit modeling; Interconnected systems; Load modeling; Power engineering computing; Power system interconnection; Power system modeling; Power system reliability; Power systems; State-space methods;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.141780
  • Filename
    141780