• DocumentCode
    1674160
  • Title

    Parallel processing for the steady state solutions of large-scale non-linear models of power systems

  • Author

    Salam, F.M.A. ; Ni, L. ; Sun, X. ; Guo, S.

  • Author_Institution
    Michigan State Univ., East Lansing, MI, USA
  • fYear
    1989
  • Firstpage
    1851
  • Abstract
    Parallel algorithms are presented for solving large-scale systems of algebraic polynomial equations. The algorithms are based on the so-called probability-one homotopy method and they guarantee finding all the roots. The algorithms are used to obtain all steady-state solutions of the load flow for a three-bus power system. A special probability-one homotopy method is tailored for the load flow to reduce the computational complexity while guaranteeing that all solutions are found. Numerical implementation of the procedures will exploit inherent parallelism in the techniques, providing efficient execution on massively parallel distributed-memory multiprocessors
  • Keywords
    load flow; parallel processing; power system analysis computing; power system interconnection; power system protection; computational complexity; inherent parallelism; large scale interconnected power systems; large scale nonlinear models; load flow; massively parallel distributed-memory multiprocessors; power system models; power system stability; probability-one homotopy method; solving large-scale systems; steady state solutions; three-bus power system; Concurrent computing; Large-scale systems; Load flow; Newton method; Nonlinear equations; Parallel processing; Power system analysis computing; Power system interconnection; Power system modeling; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1989., IEEE International Symposium on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/ISCAS.1989.100728
  • Filename
    100728