• DocumentCode
    1536555
  • Title

    Models for probabilistic power transmission system reliability calculation

  • Author

    Bak-Jensen, B. ; Bech, John ; Bjerregaard, C.G. ; Jensen, P.R.

  • Author_Institution
    Inst. of Energy Technol., Aalborg Univ., Denmark
  • Volume
    14
  • Issue
    3
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    1166
  • Lastpage
    1171
  • Abstract
    In Denmark, many independent power producers such as windmills and small gas- or oil fuelled combined heat and power plants (below 50 MW) have been set up in the last few years. Further, the larger power plants in Denmark are combined power plants with heat production to district heating. Understanding of this complex utility system with regard to cost and reliability are to be examined by a probabilistic network planning program, which can take into account all these specialities for the Danish network and include probabilistic models for the load and for the transmission system as well. Such a program has been set up with stochastic models of the windmills, the loads, the small combined heat and power plants and the heat production from the larger power plants. The models are used on a realistic network grid, and Monte-Carlo simulations are used in the final simulation program
  • Keywords
    Monte Carlo methods; cogeneration; power system analysis computing; power transmission reliability; probability; stochastic processes; thermal power stations; transmission network calculations; wind power plants; Denmark; Monte-Carlo simulations; combined heat and power plants; computer simulation; district heating; electric load; independent power producers; power grid; probabilistic power transmission system reliability calculation models; windmills; Cogeneration; Costs; Load modeling; Petroleum; Power generation; Power system modeling; Power system planning; Power system reliability; Power transmission; Production;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.780952
  • Filename
    780952