The slow-fast dynamical behaviors of a hydro-turbine governing system under periodic excitations
MetadataShow full item record
© 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 of the hydro-turbine governing system, the effects of the frequency and intensity of periodic excitation on the dynamic characteristics of the hydro-turbine governing system are analyzed in detail. Due to the different scales between the natural frequency and the excitation frequency, the fast-slow effect is obviously found on the behavior of the system under different motion modes. Furthermore, the influence rules of the fast-slow effect for the dynamic behavior of the hydro-turbine governing system are given. The results of the study can contribute to the optimization analysis and control of the hydro-turbine governing system in practical process.
Showing items related by title, author, creator and subject.
Dynamics analysis of the fast-slow hydro-turbine governing system with different time-scale couplingZhang, H.; Chen, D.; Wu, Changzhi; Wang, X. (2018)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 ...
Hamiltonian model and dynamic analyses for a hydro-turbine governing system with fractional item and time-lagXu, 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 ...
Li, H.; Chen, D.; Zhang, H.; Wu, Changzhi; Wang, X. (2017)© 2016 Elsevier LtdThis paper addresses the Hamiltonian mathematical modeling and dynamic analysis of a hydro-energy generation system in the transient of sudden load increasing. First, six dynamic transfer coefficients ...