• DocumentCode
    1269538
  • Title

    Capacity assistance distributions for arbitrarily configured multi-area networks

  • Author

    Mitra, J. ; Singh, C.

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    12
  • Issue
    4
  • fYear
    1997
  • fDate
    11/1/1997 12:00:00 AM
  • Firstpage
    1530
  • Lastpage
    1535
  • Abstract
    This paper presents a method of constructing a probability distribution for the capacity assistance available to a system from its neighboring interconnected areas. The proposed method is capable of dealing with arbitrarily connected networks. Additionally the method considers the correlation between area loads. A discrete joint distribution is used for the multi-area load model, and the capacity assistance distribution is constructed in the form of a joint probability distribution between the assistance levels and the load vectors. The uses of such a joint distribution matrix as a reliability analysis tool as well as an operations planning tool are described. The method is tested using the IEEE-RTS, with 3-area, 4-area, 5-area and 10-area interconnections
  • Keywords
    load (electric); matrix algebra; power system analysis computing; power system interconnection; power system reliability; power system security; power system stability; probability; arbitrarily connected networks; area load correlations; assistance levels; capacity assistance distributions; computer simulation; discrete joint distribution; interconnected power systems; joint distribution matrix; load vectors; multi-area power networks; operations planning tool; probability distribution; reliability analysis tool; Capacity planning; Load modeling; Power system interconnection; Power system modeling; Power system planning; Power system reliability; Power transmission lines; Probability distribution; Student members; Testing;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.627853
  • Filename
    627853