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Sensor-Based Optimized Control of the Full Load Instability in Large Hydraulic Turbines
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 under off-design conditions, which may lead to dangerous unstable operating points...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948588/ https://www.ncbi.nlm.nih.gov/pubmed/29601512 http://dx.doi.org/10.3390/s18041038 |
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author | Presas, Alexandre Valentin, David Egusquiza, Mònica Valero, Carme Egusquiza, Eduard |
author_facet | Presas, Alexandre Valentin, David Egusquiza, Mònica Valero, Carme Egusquiza, Eduard |
author_sort | Presas, Alexandre |
collection | PubMed |
description | 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 under 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 grid and the safety of the power plant itself can be compromised. For many Francis Turbines one of these critical points, that usually limits the maximum output power, is the full load instability. Therefore, these machines usually work far away from this unstable point, reducing the effective operating range of the unit. In order to extend the operating range of the machine, working closer to this point with a reasonable safety margin, it is of paramount importance to monitor and to control relevant parameters of the unit, which have to be obtained with an accurate sensor acquisition strategy. Within the framework of a large EU project, field tests in a large Francis Turbine located in Canada (rated power of 444 MW) have been performed. Many different sensors were used to monitor several working parameters of the unit for all its operating range. Particularly for these tests, more than 80 signals, including ten type of different sensors and several operating signals that define the operating point of the unit, were simultaneously acquired. The present study, focuses on the optimization of the acquisition strategy, which includes type, number, location, acquisition frequency of the sensors and corresponding signal analysis to detect the full load instability and to prevent the unit from reaching this point. A systematic approach to determine this strategy has been followed. It has been found that some indicators obtained with different types of sensors are linearly correlated with the oscillating power. The optimized strategy has been determined based on the correlation characteristics (linearity, sensitivity and reactivity), the simplicity of the installation and the acquisition frequency necessary. Finally, an economic and easy implementable protection system based on the resulting optimized acquisition strategy is proposed. This system, which can be used in a generic Francis turbine with a similar full load instability, permits one to extend the operating range of the unit by working close to the instability with a reasonable safety margin. |
format | Online Article Text |
id | pubmed-5948588 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-59485882018-05-17 Sensor-Based Optimized Control of the Full Load Instability in Large Hydraulic Turbines Presas, Alexandre Valentin, David Egusquiza, Mònica Valero, Carme Egusquiza, Eduard Sensors (Basel) Article 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 under 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 grid and the safety of the power plant itself can be compromised. For many Francis Turbines one of these critical points, that usually limits the maximum output power, is the full load instability. Therefore, these machines usually work far away from this unstable point, reducing the effective operating range of the unit. In order to extend the operating range of the machine, working closer to this point with a reasonable safety margin, it is of paramount importance to monitor and to control relevant parameters of the unit, which have to be obtained with an accurate sensor acquisition strategy. Within the framework of a large EU project, field tests in a large Francis Turbine located in Canada (rated power of 444 MW) have been performed. Many different sensors were used to monitor several working parameters of the unit for all its operating range. Particularly for these tests, more than 80 signals, including ten type of different sensors and several operating signals that define the operating point of the unit, were simultaneously acquired. The present study, focuses on the optimization of the acquisition strategy, which includes type, number, location, acquisition frequency of the sensors and corresponding signal analysis to detect the full load instability and to prevent the unit from reaching this point. A systematic approach to determine this strategy has been followed. It has been found that some indicators obtained with different types of sensors are linearly correlated with the oscillating power. The optimized strategy has been determined based on the correlation characteristics (linearity, sensitivity and reactivity), the simplicity of the installation and the acquisition frequency necessary. Finally, an economic and easy implementable protection system based on the resulting optimized acquisition strategy is proposed. This system, which can be used in a generic Francis turbine with a similar full load instability, permits one to extend the operating range of the unit by working close to the instability with a reasonable safety margin. MDPI 2018-03-30 /pmc/articles/PMC5948588/ /pubmed/29601512 http://dx.doi.org/10.3390/s18041038 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Presas, Alexandre Valentin, David Egusquiza, Mònica Valero, Carme Egusquiza, Eduard Sensor-Based Optimized Control of the Full Load Instability in Large Hydraulic Turbines |
title | Sensor-Based Optimized Control of the Full Load Instability in Large Hydraulic Turbines |
title_full | Sensor-Based Optimized Control of the Full Load Instability in Large Hydraulic Turbines |
title_fullStr | Sensor-Based Optimized Control of the Full Load Instability in Large Hydraulic Turbines |
title_full_unstemmed | Sensor-Based Optimized Control of the Full Load Instability in Large Hydraulic Turbines |
title_short | Sensor-Based Optimized Control of the Full Load Instability in Large Hydraulic Turbines |
title_sort | sensor-based optimized control of the full load instability in large hydraulic turbines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948588/ https://www.ncbi.nlm.nih.gov/pubmed/29601512 http://dx.doi.org/10.3390/s18041038 |
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