• DocumentCode
    3416325
  • Title

    A quadratic programming optimization for dynamic economic load dispatch: Comparison with GAMS

  • Author

    Benhamida, F. ; Ziane, I. ; Souag, S. ; Salhi, Y. ; Dehiba, B.

  • Author_Institution
    Dept. of Electrotechnics, UDL Univ. of Sidi Bel Abbes, Sidi Bel Abbes, Algeria
  • fYear
    2013
  • fDate
    29-31 Oct. 2013
  • Firstpage
    625
  • Lastpage
    630
  • Abstract
    This paper presents a comparative analysis study of an efficient and reliable quadratic programming (QP) and general algebraic modeling system (GAMS) to solve dynamic economic load dispatch (DELD) problem with considering transmission losses in a power system. The proposed QP method takes care of different unit and system constraints to find optimal solution. To validate the effectiveness of the proposed QP and GAMS solution, simulations have been performed using two different cases, a 18-unit, 40-unit. Results obtained with the QP method and GAMS-CONOPT solver have been compared with other existing relevant approaches available in literatures. Experimental results show a proficiency of the QP method over other existing techniques in terms of robustness and its optimal search behavior comparing to GAMS.
  • Keywords
    algebra; load dispatching; power system economics; quadratic programming; search problems; DELD problem; GAMS-CONOPT solver; QP solution; dynamic economic load dispatch; general algebraic modeling system; optimal search behavior; power system; quadratic programming optimization; transmission losses; Economics; Linear programming; Mathematical model; Power systems; Propagation losses; Quadratic programming; Economic load dispatch; Ramp rate limit; general algebraic modeling system GAMS; quadratic programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control (ICSC), 2013 3rd International Conference on
  • Conference_Location
    Algiers
  • Print_ISBN
    978-1-4799-0273-6
  • Type

    conf

  • DOI
    10.1109/ICoSC.2013.6750926
  • Filename
    6750926