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http://ciateq.repositorioinstitucional.mx/jspui/handle/1020/449| Pitch angle optimization by intelligent adjusting the gains of a PI controller for small wind turbines in areas with drastic wind speed changes | |
| ERNESTO CHAVERO NAVARRETE Mario Trejo Juan Carlos Jauregui ROBERTO VALENTIN CARRILLO SERRANO Gabriel Ríos_Moreno | |
| Acceso Abierto | |
| Atribución-NoComercial-CompartirIgual | |
| https://doi.org/10.3390/su11236670 https://www.mdpi.com/2071-1050/11/23/6670 https://www.mdpi.com/journal/sustainability 2071-1050 | |
| Sustainability Renewable energy Wind turbine Pitch control Electric generation Universities | |
| The population growth demands a greater generation of energy, an alternative is the use of small wind turbines, however, obtaining maximum wind power becomes the main challenge when there are drastic changes in wind speed. The angle of the blades rotates around its longitudinal axis to control the effect of the wind on the rotation of the turbine, a proportional-integral controller (PI) for this angle achieves stability and precision in a stable state but is not functional with severe alterations in wind speed, a different response time is necessary in both cases. This article proposes a novel pitch angle controller based on auto-tuning of PI gains, for which it uses a teaching–learning based optimization (TLBO) algorithm. The wind speed and the value of the magnitude of the change are used by the algorithm to determine the appropriate PI gains at different wind speeds, so it can adapt to any sudden change in wind speed. The effectiveness of the proposed method is verified by experimental results for a 14 KW permanent magnet synchronous generator (PMSG) wind turbine located at the Universidad Autónoma de Querétaro (UAQ), México. Author contributions: Conceptualization, E.C.-N. and J.-C.J.-C.; methodology, E.C.-N.; system control, E.C.-N. and R.-V.C.-S.; experiments, E.C.-N. and R.-V.C.-S.; software, R.-V.C.-S.; hardware, J.-C.J.-C.; validation, J.-G.R.-M.; formal analysis, M.T.-P.; investigation, E.C.-N.; resources, J.-C.J.-C..; data curation, J.-G.R.-M.; discussion, M.T.-P. and J.-C.J.-C.; writing—original draft preparation, E.C.-N.; writing-review and editing, M.T.-P. and J.-G.R.-M.; visualization, E.C.-N.; supervision, J.-C.J.-C.; project administration, J.-C.J.-C.; funding acquisition, J.-C.J.-C. Funding: This research received no external funding. Acknowledgments: This work was supported by Departamento de Investigación y Posgrado of the Facultad de Ingeniería and Universidad Autónoma de Querétaro. Conflicts of Interest: Authors declare no conflict of interest. | |
| MDPI | |
| 2019 | |
| Artículo | |
| Sustainability, vol. 11, no. 23, article no. 6670 | |
| Español | |
| Público en general | |
| Chavero-Navarrete, E.; Trejo-Perea, M.; Jáuregui-Correa, J.-C.; Carrillo-Serrano, R.-V.; Rios-Moreno, J.-G. Pitch Angle Optimization by Intelligent Adjusting the Gains of a PI Controller for Small Wind Turbines in Areas with Drastic Wind Speed Changes. Sustainability 2019, 11, 6670. | |
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| Versión publicada | |
| publishedVersion - Versión publicada | |
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| Pitch angle optimization by intelligent.pdf | 4.97 MB | Adobe PDF | Visualizar/Abrir |