• DocumentCode
    2657193
  • Title

    The model of operating power balance dynamics according to supervision in stochastic system with energy accumulation

  • Author

    Korev, D.A. ; Abdenov, A.J. ; Ozernykh, I.L.

  • Author_Institution
    Dept. of Control Syst. & Electroenergetics., Moscow Aviation Inst., Moscow, Russia
  • fYear
    2009
  • fDate
    18-22 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Modern systems of automation in electric power industry solve diagnostic, statistical, administrative problems. They facilitate and accelerate the control and management of technological process, operations on reporting creation. Possibility to regulate balance of capacity and also to choose the most economical modes of generation and an electric power expenditure allows system to solve more effectively as a whole the problems put before it and conducts to decrease in specific cost of watt of electric energy. For the decision of these problems the model of operating power balance dynamics according to supervision in stochastic system with energy accumulation has been constructed. The given model has been developed with the account of the technological process specificity realised during the electric energy manufacture on objects of local (small) energetics.
  • Keywords
    electric power generation; power system management; stochastic systems; electric energy manufacture; electric power generation; electric power industry; energy accumulation; power balance dynamics; power system management; power system operations; stochastic system; Acceleration; Automatic control; Automation; Electrical equipment industry; Power generation economics; Power system economics; Power system management; Power system modeling; Stochastic systems; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Energy Conference, 2009. INTELEC 2009. 31st International
  • Conference_Location
    Incheon
  • Print_ISBN
    978-1-4244-2490-0
  • Electronic_ISBN
    978-1-4244-2491-7
  • Type

    conf

  • DOI
    10.1109/INTLEC.2009.5351795
  • Filename
    5351795