• DocumentCode
    1361701
  • Title

    Efficient object oriented power systems software for the analysis of large-scale networks containing FACTS-controlled branches

  • Author

    Fuerte-Esquivel, CR ; Acha, E. ; Tan, SG ; Rico, JJ

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Glasgow Univ., UK
  • Volume
    13
  • Issue
    2
  • fYear
    1998
  • fDate
    5/1/1998 12:00:00 AM
  • Firstpage
    464
  • Lastpage
    472
  • Abstract
    This paper presents the methodology used in the development of a new generation of software suitable for the analysis and control of large-scale power networks containing FACTS-controlled branches. A Newton-Raphson load flow is used in this paper to emphasise the benefits and drawbacks introduced by the object-oriented technology when applied to `number-crunching´ power engineering solutions. The Newton-Raphson algorithm exhibits quadratic convergence for cases with FACTS-controlled branches. Full details of the prowess of this algorithm are given in a companion paper. C++ has been used to develop compact and easy-to-maintain power systems conventional sparsity software. To aid portability the software has been developed under the UNIXTM environment
  • Keywords
    Newton-Raphson method; control system analysis computing; flexible AC transmission systems; large-scale systems; load flow; object-oriented programming; power system analysis computing; power system control; C++; FACTS-controlled branches; Newton-Raphson load flow; UNIXTM environment; computer simulation; control simulation; conventional sparsity software; large-scale power networks; object-oriented power systems software; quadratic convergence; software portability; Computer languages; Large-scale systems; Load flow; Load flow analysis; Object oriented programming; Power engineering; Power engineering and energy; Power generation; Power system analysis computing; Software systems;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.667370
  • Filename
    667370