IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i4p1745-d1063396.html
   My bibliography  Save this article

Turbine Fast Valving Setting Method Based on the Hybrid Simulation Approach

Author

Listed:
  • Nikolay Ruban

    (School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Anton Kievets

    (School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Mikhail Andreev

    (School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

  • Aleksey Suvorov

    (School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia)

Abstract

Turbine fast valving is one way to preserve the stability of power systems in case of emergency excess power. The determination of optimal setting parameters of turbine fast valving is a rather complicated task. It is connected with the necessity to determine the parameters of an electrical signal, which controls by means of an amplifier the position of control valves and, accordingly, the value of the output turbine power. The amplitude, duration, as well as the form of the electric signal influence the speed and depth of turbine unloading; they also determine the character of transient process development, including in the post-emergency mode. The proposed approach differs from the currently used one in that the optimal electrical signal shape is selected by multiple detailed modelling in power system simulators, rather than one of three to five initial settings determined at the turbine manufacturer without taking into account the response of the power system. Thus, when using complete and reliable information regarding the processes in the turbine and generator equipment, its control systems, and the power system as a whole, it becomes possible to form the necessary shape of an electrical signal in the event of losing stability in a place of interest in the power system due to the occurrence of an emergency excess of generated active power of various values. The developed approach was tested, and the results of the study were verified by the field data.

Suggested Citation

  • Nikolay Ruban & Anton Kievets & Mikhail Andreev & Aleksey Suvorov, 2023. "Turbine Fast Valving Setting Method Based on the Hybrid Simulation Approach," Energies, MDPI, vol. 16(4), pages 1-24, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1745-:d:1063396
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/4/1745/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/4/1745/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1745-:d:1063396. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.