• DocumentCode
    804424
  • Title

    Comparison of two metaheuristics with mathematical programming methods for the solution of OPF

  • Author

    Biskas, P.N. ; Ziogos, N.P. ; Tellidou, A. ; Zoumas, C.E. ; Bakirtzis, A.G. ; Petridis, V.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Greece
  • Volume
    153
  • Issue
    1
  • fYear
    2006
  • Firstpage
    16
  • Lastpage
    24
  • Abstract
    Different optimisation methods developed for the solution of the nonlinear OPF problem with both continuous and discrete variables are compared. Two mathematical programming methods are compared with two metaheuristics, an enhanced genetic algorithm and a particle swarm optimisation implementation. Test results from the application of the methods to several IEEE systems are presented and compared. Useful conclusions are drawn concerning the execution times and the ´optimum´ costs provided by all four tested methods.
  • Keywords
    IEEE standards; genetic algorithms; load flow; nonlinear programming; power system economics; power system security; testing; IEEE systems; genetic algorithm; mathematical programming; metaheuristics; optimal power flow; particle swarm optimisation;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20050047
  • Filename
    1580948
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=804424