Estrategia de Control Fuzzy PI en una Turbina Eólica con Generador de Inducción Doblemente Alimentado para Maximizar la Extracción de Potencia en Presencia de Perturbaciones
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Publicado:
jul 29, 2021
Palabras clave:
DFIG, DSC, FAST, Fuzzy, PID, MPPT, Aerogenerador.
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Resumen
Esta investigación propone una metodología de control aplicada a una técnica en Sistemas de Generación de Energía Eólica (WEGS) para el Seguimiento del Punto de Máxima Potencia (MPPT) basada en un observador Fuzzy y complementada con un controlador PI mediante el método de Control Directo de Velocidad (DSC). Este enfoque permite controlar la corriente de referencia del lado del rotor a través de las variaciones de par y potencia eléctrica en un modelo de Generador de Inducción Doblemente Alimentado (DFIG). En consecuencia, la velocidad del generador se controla para obtener una respuesta rápida del máximo Coeficiente de Potencia (). La construcción de esta estrategia comienza con mediciones directas de las variables eléctricas y mecánicas utilizando herramientas computacionales como FAST y Matlab-Simulink para las simulaciones del modelo del aerogenerador. Esta estrategia DSC presenta un rápido desempeño en el seguimiento del considerando la dinámica de un aerogenerador de 1,5MW; esta estrategia ha sido comparada con un controlador PI tradicional mejorando la extracción de la potencia de salida.
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Muñoz , E., Ayala, E., & Pozo, N. (2021). Estrategia de Control Fuzzy PI en una Turbina Eólica con Generador de Inducción Doblemente Alimentado para Maximizar la Extracción de Potencia en Presencia de Perturbaciones. Revista Técnica "energía", 18(1), PP. 1–10. https://doi.org/10.37116/revistaenergia.v17.n2.2021.428
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SISTEMAS ELÉCTRICOS DE POTENCIA
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La Revista Técnica "energía" está bajo licencia internacional Creative Commons Reconocimiento-NoComercial 4.0.
Citas
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[2] E. Ayala and S. Simani, "Perturb and observe maximum power point tracking algorithm for permanent magnet synchronous generator wind turbine systems", in 15th European Workshop on Advanced Control and Diagnosis – ACD 2019 (G. Conte, Ed.). Lecture Notes in Control and Information Sciences. Proceedings, Alma Mater Studiorum, University of Bologna. Springer. Bologna, Italy. pp. 1–11, 2019.
[3] B. Boukhezzar and H. Siguerdidjane, "Nonlinear control with wind estimation of a DFIG variable speed wind turbine for power capture optimization," Energy Conversion and Management, vol. 50, no. 4, pp. 885-892, 2009.
[4] A. Ben Amar, S. Belkacem and T. Mahni, "Direct torque control of a doubly fed induction generator," International Journal of Energetica (IJECA), vol. 2, no. 1, pp. 11-14, 2017.
[5] A. Bakouri, A. A. Hassan Mahmoudi and K. Elyaalaoui, "Direct Torque Control of a Doubly Fed Induction Generator of Wind Turbine for Maximum Power Extraction," in 2014 International Renewable and Sustainable Energy Conference (IRSEC), Ouarzazate, 2014.
[6] Y. Sahri, S. Tamalouzt and S. L. Belaid, "Direct Torque Control of DFIG Driven by Wind Turbine System Connected to the Grid," in 2018 International Conference on Wind Energy and Applications in Algeria (ICWEAA), Algiers, 2018.
[7] A. Bakouri, H. Mahmoudi, A. Abbou and M. Moutchou, "Optimizing the wind power capture by using DTC technique based on Artificial Neural Network for a DFIG variable speed wind turbine," in 2015 10th International Conference on Intelligent Systems: Theories and Applications (SITA), Rabat, 2015.
[8] J. Singh Thongam y M. Ouhrouche, "MPPT Control Methods in Wind Energy, " de Fundamental and Advanced Topics in Wind Power, Dr. Rupp Carriveau, Ed., InTech, 2011, pp. 339-360.
[9] V. Calderaro, V. Galdi, A. Piccolo and P. Siano, "A fuzzy controller for maximum energy extraction from variable speed wind power generation systems," Electric Power Systems Research, vol. 78, no. 6, pp. 1109-1118, 2008.
[10] M. El Azzaoui y H. Mahmoudi, "Fuzzy-PI control of a doubly fed induction generator-based wind power system," International Journal of Automation and Control, vol. 11, no. 1, pp. 54-66, 2017.
[11] C. Fu, T. Pan, H. Liu, D. Wu, Y. Shen y Z. Hao, "MPPT Control Based Fuzzy for Wind Energy Generating System, " de 2018 37th Chinese Control Conference (CCC), Wuhan, 2018.
[12] A. Meharrar, M. Tioursi, M. Hatti and A. Boudghène Stambouli, "A variable speed wind generator maximum power tracking based on adaptative neuro-fuzzy inference system," Expert Systems with Applications, vol. 38, no. 6, pp. 7659-7664, 2011.
[13] G. Hou, Z. Jiang, Y. Yang and J. Zhang, "Variable universe fuzzy controller used in MPPT based on DFIG wind energy conversion system," in 2016 Chinese Control and Decision Conference (CCDC), Yinchuan, 2016.
[14] M. Sheikhan, R. Shahnazi and A. Nooshad Y., "An optimal fuzzy PI controller to capture the maximum power for variable-speed wind turbines," Neural Comput & Applic, vol. 23, no. 5, pp. 1359–1368, 2013.
[15] F. E. Tahiri, K. Chikh and M. Khafallah, "MPPT strategy using Fuzzy-PI controller applied to a standalone wind energy conversion system," in SCA '18: Proceedings of the 3rd International Conference on Smart City Applications, Tetouan, 2018.
[16] S. Karad and R. Thakur, "Recent Trends of Control Strategies for Doubly Fed Induction Generator Based Wind Turbine Systems: A Comparative Review," Archives of Computational Methods in Engineering, pp. 1-15, 2019.
[17] National Renewable Energy Laboratory (NREL). Available: https://www.nrel.gov/. [Last access: 2020].
[18] MATLAB, 2018, 9.5.0.944444 (R2018b), The MathWorks Inc., Natick, Massachusetts.
[19] F. Baldo, "Modeling of Load Interfaces for a Drive Train of a Wind Turbine," Master's Thesis, Department of Applied Mechanics, Chalmers University of Technology, Gothenburg, 2012.
[20] M. Abdullah, A. Yatim, C. Tan and R. Saidur, "A review of maximum power point tracking algorithms for wind energy systems," Renewable and Sustainable Energy Reviews, vol. 16, no. 5, pp. 3220-3227, 2012.
[21] 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, March 2011.
[22] M. Narayana, G. Putrus, M. Jovanovic, P. Leung and S. McDonald, "Generic maximum power point tracking controller for small-scale wind turbines," Renewable Energy, vol. 44, pp. 72-79, 2012.
[23] O. Uluyol, G. Parthasarathy, W. Foslien and K. Kim, "Power Curve Analytic for Wind Turbine Performance Monitoring and Prognostics," in Annual Conference of the Prognostics and Health Management Society, Montreal, 2011.
[24] G. Michalke, "Variable Speed Wind Turbines - Modelling, Control, and Impact on Power Systems," PhD thesis (Dr.-Ing.), Electrical and Computer Engineering, Technical University of Darmstadt, Darmstadt, 2008.
[25] G. Semrau, S. Rimkus and T. Das, "Nonlinear Systems Analysis and Control of Variable Speed Wind Turbines for Multiregime Operation," Journal of Dynamic Systems, Measurement, and Control, vol. 137, no. 4, pp. 1-10, April 2015.
[26] P. O. Ohiero, "Development of Fast Multi-System Simulation Models for Permanent Magnet Synchronous Motor and Generator Drive Systems," PhD thesis, School of Engineering, College of Science and Engineering, University of Glasgow Glasgow, July 2015.
[27] O. P. Bharti, R. K. Saket and S. K. Nagar, "Design of PI controller for doubly fed induction generator using static output feedback," in 2015 39th National Systems Conference (NSC), Noida, 2015.
[28] B. Rached, M. Elharoussi, and E. Abdelmounim, "Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator," International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 5, p. 4770~4781, October 2020.
[29] K. Ouezgan, B. Bossoufi and M. N. Bargach, "DTC Control of DFIG-Generators for Wind Turbines: FPGA Implementation Based," in 2017 International Renewable and Sustainable Energy Conference (IRSEC), Tangier, 2017.
[30] H. Abu-Rub, M. Malinowski and K. Al-Haddad, "Properties and Control of a Doubly Fed Induction Machine," in Power Electronics for Renewable Energy Systems, Transportation and Industrial Applications, Chennai, WILEY, 2014, pp. 280-284.
[31] G. Abad, J. López, M. A. Rodríguez, L. Marroyo and G. Iwanski, DOUBLY FED INDUCTION MACHINE, MODELING AND CONTROL FOR WIND ENERGY GENERATION, New Jersey: WILEY, 2011.
[32] R. M. Hilloowala and A. M. Sharaf, "A rule-based fuzzy logic controller for a PWM inverter in a stand alone wind energy conversion scheme," IEEE Transactions on Industry Applications, vol. 32, no. 1, pp. 57-65, Jan.-Feb. 1996.
[33] J. M. Jonkman and M. L. Buhl Jr., "FAST User’s Guide," NREL/EL-500-38230. Golden, Colorado: National Renewable Energy Laboratory 2005.
