• DocumentCode
    849844
  • Title

    Choosing the appropriate boundary for adaptive reduction [power system load flow]

  • Author

    Chen, Yilang ; Bose, Anjan

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • Volume
    3
  • Issue
    2
  • fYear
    1988
  • fDate
    5/1/1988 12:00:00 AM
  • Firstpage
    747
  • Lastpage
    752
  • Abstract
    Adaptive reduction method provides a way to retain the maximum sparsity in the power network matrix after reduction. It also provides a fast reduction calculation using the sparse vector technique, making it attractive for online load flow analysis applications. The question of determining the minimal reduced model size to work in conjunction with adaptive reduction is considered. Guidelines are developed for choosing the appropriate boundary when this can be done offline. A method is then presented for determining the boundary online, and its advantages are discussed. By choosing the appropriate boundary for adaptive reduction, the best size and sparsity of the reduced network model can be obtained to get the best solution speed
  • Keywords
    boundary-value problems; load flow; power systems; adaptive reduction; boundary; boundary value problems; load flow analysis; network model; power network matrix; solution speed; sparse vector technique; sparsity; Adaptive systems; Admittance; Computational efficiency; Computer industry; Computer networks; Guidelines; Load flow; Power system modeling; Power systems; Sparse matrices;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.192931
  • Filename
    192931