• DocumentCode
    1166284
  • Title

    Optimal Decomposition of Large-Scale Networks

  • Author

    Lee, Jang G. ; Vogt, William G. ; Mickle, Marlin H.

  • Volume
    9
  • Issue
    7
  • fYear
    1979
  • fDate
    7/1/1979 12:00:00 AM
  • Firstpage
    369
  • Lastpage
    375
  • Abstract
    The underlying concept of decomposition here is that a large complex system representing many interacting elements is broken into subsystems of lower dimensionality. These subsystems are then treated independently for whatever the purpose¿ optimization, control, design, etc.¿in consideration of interconnections between subsystems. The collection of solutions is the solution of the large original problem. In the optimal network decomposition, an attempt is made to minimize the number of interacting elements between subnetworks subject to a size limit on each subnetwork. The problem is formulated in terms of graph theory and dynamic programming. A theorem to solve the problem is developed. Implementation of the theorem in Fortran to apply to the power flow problem of electric power systems and the shortest path problem of street networks is discussed along with the results.
  • Keywords
    Complex networks; Design optimization; Dynamic programming; Graph theory; Large-scale systems; Load flow; Optimal control; Power engineering and energy; Power system stability; Shortest path problem;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/TSMC.1979.4310237
  • Filename
    4310237