2026-05-28T16:35:52Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/261012026-02-03T11:07:13Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Zambrana-López, Pablo
author
Fernández-Quijano, Javier
author
Mayorga-Rubio, Pedro Miguel
author
Fernández-Lozano, Juan Jesús
author
García-Cerezo, Alfonso José
2023-03-08T08:09:33Z
2023-03-08T08:09:33Z
2023-02-13
Zambrana P, Fernández-Quijano J, Mayorga Rubio PM, Fernandez-Lozano JJ, García-Cerezo A. Development and Evaluation of Fuzzy Logic Controllers for Improving Performance of Wind Turbines on Semi-Submersible Platforms under Different Wind Scenarios. Applied Sciences. 2023; 13(4):2422. https://doi.org/10.3390/app13042422
https://hdl.handle.net/10630/26101
https://doi.org/10.3390/app13042422
Among renewable energy technologies, wind energy features one of the best possibilities for large-scale integration into power systems. However, there are specific restrictions regarding the installation areas for this technology, thus resulting in a growing, yet restricted, rate of penetration of the technology because of the limited viable sites onshore or in shallow waters. In this context, the use of offshore semi-submersible platforms appears as a promising option, which additionally enables the incorporation of other elements, such as wave energy converters or aquaculture. Nevertheless, this kind of offshore facility involves interactions between platform movements and the wind turbine, increasing the complexity of the system, causing traditional control techniques to not be able to fully cope with the dynamics of the system, and thus limiting the efficiency of energy extraction. On the contrary, the use of intelligent control techniques is an interesting option to take full account of the said interactions and to improve energy capture efficiency through the control of the pitch of the blades, especially under turbulent, above-rated wind profiles. This work presents an original fuzzy logic controller that has been validated by comparing it with previously validated controllers, following a developed methodology that allows comparison of controllers for wind turbines in semi-submersible platforms using performance indexes.
eng
Atribución 4.0 Internacional
Wind energy
Wind turbine control
Fuzzy logic
Collective pitch control
Development and Evaluation of Fuzzy Logic Controllers for Improving Performance of Wind Turbines on Semi-Submersible Platforms under Different Wind Scenarios
journal article
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URL
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File
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4437889
application/pdf
applsci-13-02422-v2.pdf