• DocumentCode
    2248682
  • Title

    Hybrid Bacteria Foraging-DE based algorithm for Economic Load Dispatch with non-convex loads

  • Author

    Sinha, Nidul ; Lai, Loi Lei ; Saikia, L.C. ; Malakar, T.

  • Author_Institution
    Dept. of Electr. Eng., NIT, Silchar, India
  • Volume
    6
  • fYear
    2010
  • fDate
    11-14 July 2010
  • Firstpage
    3206
  • Lastpage
    3212
  • Abstract
    An algorithm based on hybridization of Bacteria Foraging (BF) and Differential Evolution (DE) was developed to solve the problem of finding the optimum load allocation amongst the committed units in a power system with non-convex loads. The performance of the proposed algorithm is evaluated on a test case of 15 units. The performance of the proposed algorithm is compared with BF method. Also, the effect of swarming in performance of the hybrid algorithm is investigated. Results demonstrate that the performance of the hybrid algorithm is much better than BF in terms of convergence rate and solution quality. The swarming effect equips the hybrid algorithm with better search capability as demonstrated on the test case.
  • Keywords
    evolutionary computation; load dispatching; power systems; differential evolution; economic load dispatch; hybrid bacteria foraging-de based algorithm; non-convex loads; optimum load allocation; power system; Convergence; Economics; Fuels; Loading; Microorganisms; Optimization; Valves; Bacterial Foraging; Differential Evolution; Economic Load dispatch; Floating point Genetic Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-6526-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2010.5580714
  • Filename
    5580714