• DocumentCode
    1297056
  • Title

    Advanced constrained genetic algorithm load flow method

  • Author

    Wong, K.P. ; Li, A. ; Law, T.M.Y.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
  • Volume
    146
  • Issue
    6
  • fYear
    1999
  • fDate
    11/1/1999 12:00:00 AM
  • Firstpage
    609
  • Lastpage
    616
  • Abstract
    An efficient and reliable constrained genetic algorithm based load flow algorithm is developed. The components and the constraint satisfaction methods in the algorithm are presented. A nodal voltage differential technique and a gradient method are developed to accelerate the solution process in the algorithm. A method for dealing with generator reactive power limits is also developed. The new algorithm can detemine multiple load flow solutions and can be used to determine the loadability limits of transmission systems. Its power is demonstrated through its applications to evaluate the loadability of the IEEE 30-, 57- and 118-node systems. Detailed results on the 30-node system are presented
  • Keywords
    genetic algorithms; load flow; power systems; reactive power; IEEE 118-node system; IEEE 30-node system; IEEE 57-node system; constrained genetic algorithm load flow method; generator reactive power limits; gradient method; load flow algorithm; loadability limits; multiple load flow solutions; nodal voltage differential technique; transmission systems;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:19990638
  • Filename
    820363