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Pérez Díaz, Juan Ignacio and Fraile Ardanuy, José Jesús (2008). Neural Networks for optimal operation of a run-of-river adjustable speed hydro power plant with axial-flow propeller turbine. In: "16th Mediterranean Conference on Control and Automation, 2008", 25/06/2008-27/06/2008, Ajaccio, Francia. ISBN 978-1-4244-2505-1. https://doi.org/10.1109/MED.2008.4602228.
Title: | Neural Networks for optimal operation of a run-of-river adjustable speed hydro power plant with axial-flow propeller turbine |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 16th Mediterranean Conference on Control and Automation, 2008 |
Event Dates: | 25/06/2008-27/06/2008 |
Event Location: | Ajaccio, Francia |
Title of Book: | Proceedings of 16th Mediterranean Conference on Control and Automation, 2008 |
Date: | 2008 |
ISBN: | 978-1-4244-2505-1 |
Subjects: | |
Faculty: | E.T.S.I. Caminos, Canales y Puertos (UPM) |
Department: | Ingeniería Civil: Hidráulica y Energética [hasta 2014] |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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This paper analyzes the regulating capabilities of both turbine speed and guide vanes position in an axial-flow propeller turbine. Two neural networks are implemented in order to simulate the turbine behavior and the turbine efficiency. A maximum-efficiency-tracking algorithm is developed to set the guide vanes position. An experimental power plant built in the Hydraulics Laboratory is described. In order to validate the proposed operation control, the dynamics of this run-of- river pilot plant has been simulated. Substantial increases in the turbine efficiency have been found.
Item ID: | 4422 |
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DC Identifier: | https://oa.upm.es/4422/ |
OAI Identifier: | oai:oa.upm.es:4422 |
DOI: | 10.1109/MED.2008.4602228 |
Official URL: | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=04602228 |
Deposited by: | Memoria Investigacion |
Deposited on: | 06 Oct 2010 09:59 |
Last Modified: | 20 Apr 2016 13:39 |