• DocumentCode
    548373
  • Title

    Possibilities of algebraic modelling and solving of power system optimization problems

  • Author

    Demirovic, Nedzmija ; Tesnjak, Sejid

  • Author_Institution
    Fac. of Electr. Eng., Univ. of Tuzla, Tuzla, Bosnia-Herzegovina
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Firstpage
    771
  • Lastpage
    776
  • Abstract
    The main goal of this paper is to present some possibilities of algebraic modelling of optimization problems in the area of power systems and their solving using General Algebraic Modelling System (GAMS). GAMS language has wide spectrum of usage from a purely mathematical problem solving to the usage in the industry problems such as chemical, electrical industry, or economy. The way of solving and modelling of specify system certainly depends of the nature of the problem and the area which it belong to. This paper will present some of optimization problems in the field of the power system, in which test results will be given for the case of multi-periodic optimal power flow conducted on a system with 4 nodes and three generators. On this particular system is performed optimization of the generator production usage during 24 hours, in which, all restrictions of presented problem has, as well, to be fulfilled.
  • Keywords
    algebra; load flow; optimisation; power system simulation; GAMS language; chemical industry; electrical industry; general algebraic modelling system; generator production usage; industry problems; mathematical problem solving; multiperiodic optimal power flow; power system optimization problems; Biological system modeling; Equations; Generators; Mathematical model; Optimization; Power generation; Production; economic dispatching; modelling; optimal power flows; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MIPRO, 2011 Proceedings of the 34th International Convention
  • Conference_Location
    Opatija
  • Print_ISBN
    978-1-4577-0996-8
  • Type

    conf

  • Filename
    5967157