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    Fast-slow dynamics of a hydropower generation system with multi-time scales

    Access Status
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    Authors
    Li, H.
    Chen, D.
    Gao, X.
    Wang, Xiangyu
    Han, Q.
    Wu, Changzhi
    Date
    2018
    Type
    Journal Article
    
    Metadata
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    Citation
    Li, H. and Chen, D. and Gao, X. and Wang, X. and Han, Q. and Wu, C. 2018. Fast-slow dynamics of a hydropower generation system with multi-time scales. Mechanical Systems and Signal Processing. 110: pp. 458-468.
    Source Title
    Mechanical Systems and Signal Processing
    DOI
    10.1016/j.ymssp.2018.03.028
    ISSN
    0888-3270
    School
    School of Design and the Built Environment
    URI
    http://hdl.handle.net/20.500.11937/67038
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 Elsevier Ltd This paper reports on fast-slow dynamical analysis of a typical complex engineering system coupling with hydraulic-mechanical-electric power. Here, we find a high-dimensional hydropower generation system that fast-slow effect manifesting as spiking states and quiescent states exists by means of multi-time-scale structure mining. In our experimental analysis, we extract critical fast-slow variant parameters used to further study the behaviors of the presented system. Our results reveal that the change of fast-slow variant parameters has remarkable impact on the fluctuation interval of spiking states and quiescent states, which provides guidance for system parameter setting; meanwhile, we experimentally demonstrate that multi-time-scale physical phenomena reflect the stability and operational feature of the complex hydropower generation system. This work, combined with multi-scale dynamic analysis and a snapshot of macro-significance of engineering, enables us to develop a novel framework for investigating instability of complex engineering systems.

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