• DocumentCode
    1783557
  • Title

    The power station regime management under uncertainty

  • Author

    Sauhats, Antans ; Varfolomejeva, Renata

  • Author_Institution
    Riga Tech. Univ., Riga, Latvia
  • fYear
    2014
  • fDate
    14-14 Oct. 2014
  • Firstpage
    194
  • Lastpage
    197
  • Abstract
    The topicality of the task of power systems regimes optimization is significantly improved under the conditions of market economy. Developing the tasks for optimization of the regimes of electrical stations and power systems the changing of the optimization criteria should be considered as a significant innovation. The power station regime optimization is stochastic, multi-dimensional, multi-parameter etc.; that is why such task optimization should be made with using games theory criterion as well as Pareto principle. In this paper the optimization stochastic algorithm is synthesized and proved its operation feasibility for the station regime.
  • Keywords
    optimisation; power system management; stochastic processes; market economy; optimization stochastic algorithm; power station regime management; power station regime optimization; power systems regimes optimization; task optimization; uncertainty condition; Educational institutions; Game theory; Optimization; Power generation; Power systems; Uncertainty; modeling; power system planning; stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Electrical Engineering of Riga Technical University (RTUCON), 2014 55th International Scientific Conference on
  • Conference_Location
    Riga
  • Print_ISBN
    978-1-4799-7460-3
  • Type

    conf

  • DOI
    10.1109/RTUCON.2014.6998177
  • Filename
    6998177