Fast-slow dynamics of a hydropower generation system with multi-time scales
dc.contributor.author | Li, H. | |
dc.contributor.author | Chen, D. | |
dc.contributor.author | Gao, X. | |
dc.contributor.author | Wang, Xiangyu | |
dc.contributor.author | Han, Q. | |
dc.contributor.author | Wu, Changzhi | |
dc.date.accessioned | 2018-05-18T07:57:03Z | |
dc.date.available | 2018-05-18T07:57:03Z | |
dc.date.created | 2018-05-18T00:22:57Z | |
dc.date.issued | 2018 | |
dc.identifier.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. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/67038 | |
dc.identifier.doi | 10.1016/j.ymssp.2018.03.028 | |
dc.description.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. | |
dc.publisher | Academic Press | |
dc.title | Fast-slow dynamics of a hydropower generation system with multi-time scales | |
dc.type | Journal Article | |
dcterms.source.volume | 110 | |
dcterms.source.startPage | 458 | |
dcterms.source.endPage | 468 | |
dcterms.source.issn | 0888-3270 | |
dcterms.source.title | Mechanical Systems and Signal Processing | |
curtin.department | School of Design and the Built Environment | |
curtin.accessStatus | Fulltext not available |
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