• DocumentCode
    1024019
  • Title

    Economic load dispatch for piecewise quadratic cost function using Hopfield neural network

  • Author

    Park, J.H. ; Kim, Y.S. ; Eom, I.K. ; Lee, K.Y.

  • Author_Institution
    Dept. of Electr. Eng., Pusan Nat. Univ., South Korea
  • Volume
    8
  • Issue
    3
  • fYear
    1993
  • fDate
    8/1/1993 12:00:00 AM
  • Firstpage
    1030
  • Lastpage
    1038
  • Abstract
    The authors present a new method to solve the problem of economic power dispatch with piecewise quadratic cost function using the Hopfield neural network. Traditionally one convex cost function for each generator is assumed. However, it is more realistic to represent the cost function as a piecewise quadratic function rather than one convex function. In this study, multiple intersecting cost functions are used for each unit. Through case studies, the possibility of the application of the Hopfield neural network to the economic load dispatch problem with general nonconvex cost functions was shown. The proposed approach is much simpler and the results are very close to those of the numerical method
  • Keywords
    Hopfield neural nets; economics; load dispatching; power system analysis computing; Hopfield neural network; convex cost function; economic power dispatch; load dispatch; piecewise quadratic cost function; Biological neural networks; Cost function; Fuel economy; Hopfield neural networks; Neurons; Power engineering and energy; Power generation economics; Power system economics; Power system modeling; Valves;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.260897
  • Filename
    260897