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Optimized use of sensors to detect critical full load instability in large hydraulic turbines

Author
Presas, A.; Valentin, D.; Egusquiza, M.; Bossio, M.; Egusquiza, E.; Valero, M.
Type of activity
Presentation of work at congresses
Name of edition
5th International Symposium on Sensor Science
Date of publication
2017
Presentation's date
2017-09
Book of congress proceedings
Proceedings of the 5th International Symposium on Sensor Science (I3S 2017), Barcelona, Spain, 27-29 September 2017
First page
822
DOI
https://doi.org/10.3390/proceedings1080822 Open in new window
Repository
https://www.researchgate.net/publication/321507951_Optimized_Use_of_Sensors_to_Detect_Critical_Full_Load_Instability_in_Large_Hydraulic_Turbines Open in new window
URL
http://www.mdpi.com/2504-3900/1/8/822 Open in new window
Abstract
Nowadays, hydropower plants are of paramount importance for the integration of intermittent renewable energy sources in the power grid. In order to match the energy generated and consumed, Large Hydraulic Turbines have to work at off-design conditions, which may lead to dangerous unstable operating points involving the hydraulic, mechanical and electrical system. Under these conditions, the stability of the power grid and the safety of the powerplant itself can be compromised. For many Francis T...
Group of research
CDIF - Center for Industrial Diagnostics
FLUIDS - Fluids Engineering

Participants