• DocumentCode
    2416198
  • Title

    Exact convergence of a parallel textured algorithm for constrained economic dispatch control problems

  • Author

    Huang, Garng M. ; Hsieh, Shih-Chieh

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    570
  • Abstract
    The constrained real power economic dispatch control problem is solved in parallel by a textured decomposition based algorithm. Sufficient conditions and rigorous proofs for the proposed algorithm to converge to the global minimum solution are described. It is first shown that, for a textured decomposition, the algorithm always converges to a stationary point, which may not be a global minimum. Then, it is proved that, if the conditions of the exact convergence theorem are satisfied, the textured algorithm will converge to a global minimum
  • Keywords
    convergence of numerical methods; load dispatching; load regulation; parallel algorithms; power system control; constrained economic dispatch control problems; exact convergence theorem; global minimum solution; parallel textured algorithm; stationary point; Convergence; Costs; Environmental economics; Equations; Parallel processing; Power generation economics; Power system economics; Reactive power control; Sufficient conditions; Supercomputers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371666
  • Filename
    371666