Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Dynamics analysis of the fast-slow hydro-turbine governing system with different time-scale coupling

    Access Status
    Fulltext not available
    Authors
    Zhang, H.
    Chen, D.
    Wu, Changzhi
    Wang, X.
    Date
    2018
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Zhang, H. and Chen, D. and Wu, C. and Wang, X. 2018. Dynamics analysis of the fast-slow hydro-turbine governing system with different time-scale coupling. Communications in Nonlinear Science and Numerical Simulation. 54: pp. 1339-1351.
    Source Title
    Communications in Nonlinear Science and Numerical Simulation
    DOI
    10.1016/j.cnsns.2017.05.020
    ISSN
    1007-5704
    School
    Department of Construction Management
    URI
    http://hdl.handle.net/20.500.11937/53711
    Collection
    • Curtin Research Publications
    Abstract

    Multi-time scales modeling of hydro-turbine governing system is crucial in precise modeling of hydropower plant and provides support for the stability analysis of the system. Considering the inertia and response time of the hydraulic servo system, the hydro-turbine governing system is transformed into the fast-slow hydro-turbine governing system. The effects of the time-scale on the dynamical behavior of the system are analyzed and the fast-slow dynamical behaviors of the system are investigated with different time-scale. Furthermore, the theoretical analysis of the stable regions is presented. The influences of the time-scale on the stable region are analyzed by simulation. The simulation results prove the correctness of the theoretical analysis. More importantly, the methods and results of this paper provide a perspective to multi-time scales modeling of hydro-turbine governing system and contribute to the optimization analysis and control of the system.

    Related items

    Showing items related by title, author, creator and subject.

    • The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
      Zhang, H.; Chen, D.; Xu, B.; Wu, Changzhi; Wang, X. (2016)
      © 2016 Springer Science+Business Media DordrechtThis paper studies the dynamic evolution behaviors of the hydro-turbine governing system by using Adams–Bashforth–Moulton algorithm. Based on the non-autonomous dynamic model ...
    • Hamiltonian model and dynamic analyses for a hydro-turbine governing system with fractional item and time-lag
      Xu, B.; Chen, D.; Zhang, H.; Wang, F.; Zhang, Xinguang; Wu, Yong Hong (2017)
      © 2016This paper focus on a Hamiltonian mathematical modeling for a hydro-turbine governing system including fractional item and time-lag. With regards to hydraulic pressure servo system, a universal dynamical model is ...
    • Sensitivity analysis of a Pelton hydropower station based on a novel approach of turbine torque
      Xu, B.; Yan, D.; Chen, D.; Gao, X.; Wu, Changzhi (2017)
      Hydraulic turbine generator units with long-running operation may cause the values of hydraulic, mechanic or electric parameters changing gradually, which brings a new challenge, namely that whether the operating stability ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.