Mechanical stability analysis of a DFIG floating offshore wind turbine using an oriented-control model

Authors

Keywords:

Barge-type floating offshore wind turbine, control-oriented model, double-fed induction generator, mathematical optimization, stability, wind energy

Abstract

This article develops an oriented-control simulation model of a doubly fed inductor generator (DFIG) floating offshore wind turbine (FOWT). The main goal of this model is to allow it to analyze the influence of the wind turbine control on the mechanical stability of the floating turbine, studying how the control action affects the vibrations of the tower. A mathematical optimization control and fixed pitch angle have been implemented. The model has been simulation tested, obtaining results close to the nominal power generation and acceptable oscillation values for the operating conditions. Despite the non-linear dynamics of the system, the model allows it the simulation of different capacity power generation systems, specifically floating offshore wind turbines, and the study of the vibrations of the floating structure.

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Author Biographies

Andrés Felipe Ospina Álvarez, Universidad Complutense de Madrid

Andrés Felipe Ospina Álvarez is a B.Sc. Mechanical engineer from the Technological University of Pereira and received his master’s degree in Energy from the Complutense University of Madrid. In his professional career have worked in research areas relationship with the renewable energy such as micro hydro power and offshore wind turbines. He has achieved an excellent academic performance; this has allowed him to have recognition by academic authorities

Matilde Santos , Instituto de Tecnología del Conocimiento, Universidad Complutense de Madrid

Matilde Santos Peñas received her B.Sc. and M.Sc. degrees in Physics (Computer Engineering) and her Ph.D in Physics from the University Complutense of Madrid (UCM), Spain. She is currently Full Professor in System Engineering and Automatic Control. She is member of the European Academy of Sciences and Arts.
She has published many papers in international scientific journals and several book chapters. She has supervised more than 10 Ph.Ds. She has worked on several national, European and international research projects, leading some of them. Her major research interests are: Intelligent Control (fuzzy and neuro-fuzzy), Modelling and Simulation, Autonomous (guided) vehicles, Wind energy

References

Wind Europe, "Wind Energy in Europe in 2019: Trends and Statistics," 2020.

M. Tomás Rodríguez and M. Santos, "Modelado y control de turbinas eólicas marinas flotantes," Revista iberoamericana de automática e informática industrial, vol. 16, pp. 381-390, 2019.

D. Villoslada, M. Santos and M. Tomás-Rodríguez, "General Methodology for identification of reduced dynamic models of barge-type floating wind turbines," Energies, vol. 14, no. 13, p. 3902, 2021.

D. Micallef and A. Rezaeiha, "Floating offshore wind turbine aerodynamics: Trends and future challenges," Renewable and Sustainable Energy Reviews, vol. 152, 2021.

J. R. Homer and R. Nagamune, "Physics-based 3-D control-oriented modeling of floating wind turbines," IEEE Transactions on Control Systems Technology, vol. 26, no. 1, pp. 14-26, 2017.

J. C. Ward, A. J. Goupee, A. M. Viselli and H. J. & Dagher, "Experimental investigation into the dynamic behavior of a floating offshore wind turbine stabilized via a suspended counterweight," Ocean Engineering, vol. 228, 2021.

D. Villoslada, M. Santos and M. & Tomás-Rodríguez, "TMD stroke limiting influence on barge-type floating wind turbines," Ocean Engineering, vol. 248, 2022.

N. K. Siavash, G. Najafi, T. T. Hashjin, B. Ghobadian and E. Mahmoodi, "Mathematical modeling of a horizontal axis shrouded wind turbine," Renewable Energy, vol. 146, pp. 856-866, 2020.

M. Sacie, M. Santos, R. López and R. & Pandit, "Use of State-of-Art Machine Learning Technologies for Forecasting Offshore Wind Speed, Wave and Misalignment to Improve Wind Turbine Performance," Journal of Marine Science and Engineering, vol. 10, no. 7, p. 938, 2022.

S. Bashetty and S. & Ozcelik, "Effect of Pitch Control on the Performance of an Offshore Floating Multi-Wind-Turbine Platform," Journal of Physics: Conference Series, vol. 1828, no. 1, 2021.

J. López-Queija, E. Robles, J. I. Llorente, I. Touzon and J. & López-Mendia, " A Simplified Modeling Approach of Floating Offshore Wind Turbines for Dynamic Simulations," Energies, vol. 15, no. 6, 2022.

K. A. Shah, M. F. Y. Li, R. Nagamune, Y. Zhou, Z. Ren and Z. Jiang, "A synthesis of feasible control methods for floating offshore wind turbine system dynamics," Renewable and Sustainable Energy Reviews, vol. 151, p. 111525, 2021.

J. E. Sierra-García and M. Santos, "Exploring Reward Strategies for WInd Turbine Pitch Control by Reinforcement Learning," Applied Sciences, vol. 10, no. 21, p. 7462, 2020.

J. E. Sierra-García and M. & Santos, "Improving wind turbine pitch control by effective wind neuro-estimators," IEEE Access, vol. 9, pp. 10413-10425, 2021.

R. Zhao, D. Dong, C. Li, S. Liu, H. Zhang, M. Li and W. Shen, "An Improved Power COntrol Approach for WInd Turbine Fatigue Balancing in an Offshore Wind Farm," Energies, vol. 13, no. 7, p. 1549, 2020.

L. Qi, L. Zheng, X. Bai, Q. Chen, J. Chen and Y. Chen, "Nonlinear maximum power point tracking control method for wind turbines considering dynamics," Applied Sciences, vol. 10, no. 3, p. 811, 2020.

J. Vives, E. Quiles and E. García, "AI techniques applied to diagnosis of vibrations failures in wind turbines," IEEE Latin America Transcations, vol. 18, no. 08, pp. 1478-1486, 2020.

H. Namik and K. Stol, "Individual blade pitch control of floating offshore wind turbines," Wind Energy: An International Journal for Progress and Applications in Wind Power Conversion Technology, vol. 13, no. 1, pp. 74-85, 2010.

F. D. Bianchi, H. De Battista and R. J. Mantz, Wind Turbine Control Systems Principles, Modelling and Gain Scheduling Design, London: Springer, 2007.

C. Nichita, L. Dragos, B. Dakyo and E. Ceanga, "Large Band Simulation of the Wind Speed for Real TIme WInd Turbine Simulators," IEEE Transactions on energy conversion, vol. 17, no. 4, pp. 523-529, 2002.

M. Mikati, M. Santos Peña and C. Armenta Deu, "Modelado y Simulación de un Sistema Conjunto de Energía Solar y Eólica para Analizar su Dependencia de la Red Eléctrica," Revista Iberoamericana de Automática e Informática industrial, vol. 9, pp. 267-281, 2012.

M. Mikati, M. Santos and C. Armenta, "Electric grid dependence on the configuration of a small-scale wind and solar power hybrid system," Renewable Energy, vol. 57, pp. 587-593, 2013.

S. M. Muyeen, M. H. Ali, R. Takahashi , T. Murata, J. Tamura, Y. Tomaki and E. Sasano, "Comparative study on transient stability analysis of wind turbine generator system using different drive train models," IET Renewable Power Generation, vol. 1, no. 2, pp. 131-141, 2007.

B. Boukhezzar and H. Siguerdidjane, "Nonlinear Control of a Variable-Speed Wind Turbine Using a Two-Mass Model," IEEE Transactions on energy conversion, vol. 26, no. 1, pp. 149-162, 2011.

A. Tapia, G. Tapia, J. X. Ostolaza and J. R. Sáenz, "Modeling and control of a wind turbine driven double fed induction generator," IEEE Transactions on energy conversion, vol. 18, no. 2, pp. 194-204, 2003.

J. B. Ekayanake, L. Holdsworth, X. Wu and N. Jenkins, "Dynamic modeling of doubly fed induction generator wind turbines," IEEE Transactions on Power Systems, vol. 18, no. 2, pp. 803-809, 2013.

P. Kundur, Power system stability and control, McGraw-Hill, 1994.

J. Earnest and S. Rachel, Wind Power Technology, Delhi: PHI Learning Private Limited,, 2019.

M. Ge, D. Tian and Y. Deng, "Reynolds number effect on the optimization of a wind turbine blade for maximum aerodynamic efficiency," Journal of Energy Engineering, vol. 142, no. 1, pp. 04014056-1 04014056-12, 2016.

K. Thomsen and P. Sorensen, "Fatigue loads for wind turbines operating in wakes," Journal of wind engineering and industrial aerodynamics, vol. 80, pp. 121-136, 1998.

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Published

2022-10-21

How to Cite

Ospina Álvarez, A. F., & Santos , M. (2022). Mechanical stability analysis of a DFIG floating offshore wind turbine using an oriented-control model. IEEE Latin America Transactions, 21(1), 91–97. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/6756

Issue

Vol. 21 No. 1 (2023): Ordinary Issue

Section

Electric Energy