IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v223y2024ics0960148124001630.html
   My bibliography  Save this article

Nonlinear damping characteristic analysis of hydropower systems based on a reliable damping quantification method

Author

Listed:
  • Lu, Xueding
  • Li, Chaoshun
  • Liu, Dong
  • Zhu, Zhiwei
  • Wang, He
  • Tan, Xiaoqiang
  • Xu, Rongli

Abstract

This paper aims to study the nonlinear damping characteristic of hydro-turbine governing systems (HTGS) in various frequency bands and improve the reliability of nonlinear damping quantification. Firstly, an HTGS model including multiple hydraulic-mechanical nonlinearities is established using an actual hydropower system as the object. Then, a trajectory quantification method is proposed to enhance the accuracy and stability of the damping calculation. On this basis, the influence of the hydraulic and controller parameters on the HTGS damping in the ultra-low and low frequency band is analyzed. Finally, a deviation indicator is defined to analyze the contribution level of each nonlinear factor to the damping characteristics, and the action mechanism of dominant nonlinearity on damping is further investigated. The results show that increasing the controller parameter and hydraulic parameter decreases the minimum damping of the HTGS. The total deviation of damping under the influence of nonlinearity reaches 1.31 times. Among them, water system nonlinearity and governor delay are two major nonlinearities, and their influence on damping characteristics accounts for 41.4% and 34.4% of the total nonlinear influence, respectively. This paper provides a powerful tool to quantify the damping of nonlinear HTGS and potentially supports the regulation performance enhancement of HTGS.

Suggested Citation

  • Lu, Xueding & Li, Chaoshun & Liu, Dong & Zhu, Zhiwei & Wang, He & Tan, Xiaoqiang & Xu, Rongli, 2024. "Nonlinear damping characteristic analysis of hydropower systems based on a reliable damping quantification method," Renewable Energy, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:renene:v:223:y:2024:i:c:s0960148124001630
    DOI: 10.1016/j.renene.2024.120098
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148124001630
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2024.120098?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:renene:v:223:y:2024:i:c:s0960148124001630. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.