• DocumentCode
    3579307
  • Title

    Transmission constrained economic load dispatch using biogeography based optimization

  • Author

    Singh, Jitendra ; Goyal, Sunil Kumar

  • Author_Institution
    Deptt. of Electrical Engineering, Apex Institute of Engineering & Tech., Jaipur, India
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In present days, power crisis increasing due to increase the consumer´s load. To overcome this problem some optimization techniques have been used to solve the economic load dispatch problem. This paper presents an efficient and reliable Biogeography Based Optimization (BBO) algorithm, which is used to solve the Economic Load Dispatch problem of thermal power station even as generator and transmission constraints are considered and satisfying it. Biogeography basically is the study of the geographical distribution of the biological organism. Biogeography based optimization is a comparatively new approach. Mathematical models of biogeography explain how an organism arises and how to migrate from one habitat to another habitat, or get died out. In BBO algorithm, solutions are sharing the good features between solutions that are immigration and emigration process. This algorithm looks for the overall optimum solution mostly through two steps — Migration and Mutation. The Results of the proposed method have been compared with results of IEEE 30-bus, 6 generator system and got the better quality of the obtained solution. This method is one of the prominent approaches for solving the Economic Load Dispatch problems under practical conditions.
  • Keywords
    Biogeography; Economics; Fuels; Generators; Optimization; Sociology; Statistics; BBO; ELD; HSI; IEEE 30-bus standard load flow test system; Migration; Mutation; SIVs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-3974-9
  • Type

    conf

  • DOI
    10.1109/ICCIC.2014.7238511
  • Filename
    7238511