• DocumentCode
    2921338
  • Title

    Economic dispatch by the combination of HNN and the Lagrange method

  • Author

    Bouakacha, Riad ; Salah, Leulmi

  • Author_Institution
    Dept. of Electr. Eng., Skikda Lab. of EPS, Skikda, Algeria
  • fYear
    2013
  • fDate
    28-30 Nov. 2013
  • Firstpage
    544
  • Lastpage
    548
  • Abstract
    In this work, we are going to solve the ED (economic dispatch) problem by the use of an HNN (Hopfield neural networks) model combined with the Lagrange method noted LHNN. In contrary to the techniques that use the linear function of the total inputs to neurons, we are going to use it at the non-linear form that allows the parameters of NN to contain all information of the original problem, so the HNN become able to reach exactly the solutions. At the end, simulations will be presented, with promising results, of a multi-objective economic environmental problem.
  • Keywords
    Hopfield neural nets; load dispatching; power engineering computing; ED problem; HNN; Hopfield neural network model; LHNN; Lagrange method; NN; economic dispatch; linear function; neuron; Economics; Equations; Hopfield neural networks; Mathematical model; Neurons; Optimization; Production; ED; HNN; Lagrange method; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering (ELECO), 2013 8th International Conference on
  • Conference_Location
    Bursa
  • Print_ISBN
    978-605-01-0504-9
  • Type

    conf

  • DOI
    10.1109/ELECO.2013.6713905
  • Filename
    6713905