• DocumentCode
    2461493
  • Title

    Fuzzy logic supervisory control for coal power plant

  • Author

    Pruessmann, Dirk ; Krause, Bernhard ; Von Altrock, Constantin

  • Author_Institution
    INFORM Software Corp., USA
  • Volume
    2
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    921
  • Abstract
    A new type of fossil fuel power plant was developed by two German companies, Rheinbraun and RWE. This new type of fossil fuel power plant uses brown coal. The brown coal is first gasified and then the gas is used to run a combined gas turbine/steam turbine process. Rheinbraun developed the process that is used to gasify the brown coal. It has been used and optimized since 1985 in a large-scale demonstration plant. This demo plant is equipped with a conventional control system. But to be able to build the new type of power plant the following improvements are necessary: more exact control of gas throughput; increased degree of automation; and automatic adaptation of the control to different coal qualities. A supervisory fuzzy logic control was added to the control system to achieve these improvements. Fuzzy logic technology was used because of the nonlinear MIMO characteristics of the process. Fuzzy logic also makes it very easy to convert the extensive operator knowledge into a clearly defined control strategy
  • Keywords
    coal gasification; combined cycle power stations; fuzzy control; power station control; process control; robust control; MIMO systems; RWE; Rheinbraun; brown coal; coal power plant; fuzzy control; fuzzy logic; nonlinear systems; process stabilisation; supervisory control; Automatic control; Automation; Control systems; Fossil fuels; Fuzzy logic; Large-scale systems; Power generation; Supervisory control; Throughput; Turbines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.622832
  • Filename
    622832