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Optimization of pump turbine closing operation to minimizewater hammer and pulsating pressures during load rejection

Ye, J, Zeng, Wei, Zhao, Z, Yang, J and Yang, J 2020, Optimization of pump turbine closing operation to minimizewater hammer and pulsating pressures during load rejection, Energies, vol. 13, no. 4, pp. 1-18, doi: 10.3390/en13041000.

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Title Optimization of pump turbine closing operation to minimizewater hammer and pulsating pressures during load rejection
Author(s) Ye, J
Zeng, Wei
Zhao, Z
Yang, J
Yang, J
Journal name Energies
Volume number 13
Issue number 4
Article ID ARTN 1000
Start page 1
End page 18
Total pages 18
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2020-02
ISSN 1996-1073
Keyword(s) ALGORITHM
Energy & Fuels
evolutionary algorithm
fuzzy membership degree
hydraulic transient
LAW
PARTICLE SWARM OPTIMIZATION
pulsating pressure
pump turbine
pumped-storage power plant
Science & Technology
SYSTEM
Technology
Summary In load rejection transitional processes in pumped-storage plants (PSPs), the process of closing pump turbines, including guide vane (GVCS) and ball valve closing schemes (BVCS), is crucial for controlling pulsating pressures and water hammer. Extreme pressures generated during the load rejection process may result in fatigue damage to turbines, and cracks or even bursts in the penstocks. In this study, the closing schemes for pump turbine guide vanes and ball valves are optimized to minimize water hammer and pulsating pressures. A model is first developed to simulate water hammer pressures and to estimate pulsating pressures at the spiral case and draft tube of a pump turbine. This is combined with genetic algorithms (GA) or non-dominated sorting genetic algorithm II (NSGA-II) to realize single- or multi-objective optimizations. To increase the applicability of the optimized result to different scenarios, the optimization model is further extended by considering two different load-rejection scenarios: full load-rejection of one pump versus two pump turbines, simultaneously. The fuzzy membership degree method provides the best compromise solution for the attained Pareto solutions set in the multi-objective optimization. Employing these optimization models, robust closing schemes can be developed for guide vanes and ball valves under various design requirements.
Language eng
DOI 10.3390/en13041000
Field of Research 02 Physical Sciences
09 Engineering
HERDC Research category C1.1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30164140

Document type: Journal Article
Collections: Faculty of Science, Engineering and Built Environment
School of Engineering
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.