• DocumentCode
    2807280
  • Title

    Differential evolution based economic environmental power dispatch

  • Author

    Pérez-Guerrero, Raul E. ; Cedeno-Maldonado, J.R.

  • Author_Institution
    Dept. of Electr. Eng., UPR, Mayaguez, Puerto Rico
  • fYear
    2005
  • fDate
    23-25 Oct. 2005
  • Firstpage
    191
  • Lastpage
    197
  • Abstract
    This research work presents the solution of the economic environmental dispatch (EED) problem by means of the differential evolution (DE) algorithm. This technique was chosen due to the complexity associated with the highly nonlinear characteristics of the emissions involved and the dimensionality of the problem being considered. The economic-environmental problem was formulated by considering emissions either as constraints or as a second objective function of a multiobjective optimization problem. The IEEE 30 bus system was used for testing and validation purposes. The results obtained demonstrate the effectiveness of the proposed method for solving the EED problem.
  • Keywords
    environmental management; load dispatching; optimisation; power system economics; IEEE 30 bus system; differential evolution; economic environmental power dispatch; economic-environmental problem; multiobjective optimization problem; Constraint optimization; Cost function; Environmental economics; Evolutionary computation; Neural networks; Power generation; Power generation economics; Power system economics; Power system planning; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Symposium, 2005. Proceedings of the 37th Annual North American
  • Print_ISBN
    0-7803-9255-8
  • Type

    conf

  • DOI
    10.1109/NAPS.2005.1560523
  • Filename
    1560523