• DocumentCode
    3244394
  • Title

    Biogeography-Based Optimization and its application to nonconvex Economic Emission Load Dispatch problems

  • Author

    Bhattacharya, Avik ; Chattopadhyay, Pranab Kumar

  • Author_Institution
    Jadavpur University, India
  • fYear
    2009
  • fDate
    8-11 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This Paper presents Biogeography-Based Optimization (BBO) algorithm to solve complex Economic Emission Load Dispatch (EELD) problems of thermal generators of power systems. Different emission substances like NOx, SOx are considered for case studies. Biogeography deals with the geographical distribution of biological organisms. Mathematical models of Biogeography describe how species migrate from one habitat to another, how species arise, and how species become extinct. Here, it is discussed how BBO can be used to solve EELD problems. This algorithm searches the global optimum mainly through two steps: Migration and Mutation. To show the performance of the proposed algorithm, the algorithm has been applied for solving multi-objective EELD problems in a 3 Generator system with NOX and SOX mission and in a 6 Generator system addressing both valve-point loading and NOX emission
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Power System Control, Operation and Management (APSCOM 2009), 8th International Conference on
  • Conference_Location
    Hong Kong, China
  • Type

    conf

  • DOI
    10.1049/cp.2009.1826
  • Filename
    5526683