• DocumentCode
    1181187
  • Title

    Improved algorithms for multi-area reliability evaluation using the decomposition-simulation approach

  • Author

    Singh, Chanan ; Lago-Gonzalez, Alex

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    4
  • Issue
    1
  • fYear
    1989
  • fDate
    2/1/1989 12:00:00 AM
  • Firstpage
    321
  • Lastpage
    328
  • Abstract
    Algorithms are presented for improving the overall effectiveness and efficiency of the decomposition-simulation approach for multi-area reliability evaluation. An algorithm for developing a multi-area load model is first described. This algorithm is based on clustering concepts and captures correlation between area loads. Next, algorithms for simplifying frequency calculations are described. These algorithms provide substantial reductions in the computational time requirement, thus alleviating one of the drawbacks of the decomposition-simulation approach. System studies are presented to demonstrate the relative merits of all the algorithms introduced here
  • Keywords
    load (electric); power systems; reliability; decomposition-simulation approach; load model; multi-area reliability evaluation; power systems; Clustering algorithms; Computational modeling; Frequency; Load management; Load modeling; Power & Energy Society; Power engineering and energy; Power systems; Samarium; Systems engineering and theory;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.32495
  • Filename
    32495