• DocumentCode
    2566874
  • Title

    Biogeography-based optimization and the solution of the power flow problem

  • Author

    Rarick, Rick ; Simon, Dan ; Villaseca, F.Eugenio ; Vyakaranam, Bharat

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Cleveland State Univ., Cleveland, OH, USA
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    1003
  • Lastpage
    1008
  • Abstract
    Biogeography-based optimization (BBO) is a novel evolutionary algorithm that is based on the mathematics of biogeography. Biogeography is the study of the geographical distribution of biological organisms. In the BBO model, problem solutions are represented as islands, and the sharing of features between solutions is represented as immigration and emigration between the islands. This paper presents an application of the BBO algorithm to the power flow problem for an IEEE 30-bus test case system. The BBO solution is compared with the solution of the same problem using a genetic algorithm (GA). The results of Monte Carlo simulations indicate that the BBO algorithm consistently performs better than the GA in determining an optimal solution to the power flow problem.
  • Keywords
    Monte Carlo methods; evolutionary computation; load flow; IEEE 30-bus test case system; Monte Carlo simulation; biogeography-based optimization; biological organisms; evolutionary algorithm; geographical distribution; power flow problem; Biogeography; Evolutionary computation; Genetic algorithms; Linear matrix inequalities; Load flow; Mathematical model; Nonlinear equations; Power generation; Sparse matrices; USA Councils; Biogeography-Based Optimization; Evolutionary Algorithms; Genetic Algorithms; Power Flow Problem; Power Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346046
  • Filename
    5346046