Identification and Control of a River-Current-Turbine Generator—Application to a Full-Scale Prototype
| Autor: | Axel Rumeau, Matthieu Hauck, Daniel Roye, Seddik Bacha, Iulian Munteanu, Antoneta Iuliana Bratcu |
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| Přispěvatelé: | Laboratoire de Génie Electrique de Grenoble (G2ELab), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), GIPSA - Systèmes linéaires et robustesse (GIPSA-SLR), Département Automatique (GIPSA-DA), Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Grenoble Images Parole Signal Automatique (GIPSA-lab ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), GIPSA - Systèmes non linéaires et complexité (GIPSA-SYSCO) |
| Rok vydání: | 2018 |
| Předmět: |
Maximum Power Point Tracking
power generation control Renewable Energy Sustainability and the Environment Angular displacement Computer science 020209 energy [SPI.NRJ]Engineering Sciences [physics]/Electric power Full scale 02 engineering and technology 7. Clean energy Automotive engineering Maximum power point tracking performance evaluation [SPI.AUTO]Engineering Sciences [physics]/Automatic Synchronization (alternating current) Electricity generation Steam turbine 0202 electrical engineering electronic engineering information engineering microhydro power Torque Power density |
| Zdroj: | IEEE Transactions on Sustainable Energy IEEE Transactions on Sustainable Energy, IEEE, 2018, 9 (3), pp.1365-1374. ⟨10.1109/TSTE.2017.2782759⟩ |
| ISSN: | 1949-3037 1949-3029 |
| DOI: | 10.1109/tste.2017.2782759 |
| Popis: | International audience; This paper reports on the operation assessment of an electrical power generation system based upon cross-flow water turbines. The specific power take-off system has been tested in real-world conditions in a variety of scenarios and the experimental results have confirmed previous modeling assessments. Dynamical proprieties have been precisely identified and stable system operation over the entire operating range has been achieved. Steady-state characterization in terms of power coefficient has also been done, allowing the assessment of power generation system global efficiency and enabling the building of more precise models to be used in further simulations and assessments for power grid integration. Maximum power point tracking and other specific operation regimes such as angular position synchronization have also been validated. |
| Databáze: | OpenAIRE |
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