Fuzzy PI Control Strategy to Doubly Fed Induction Wind Turbine for Power Maximization in Presence of Disturbances
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
How to Cite
Download Citation
Show authors biography
Similar Articles
- Wilson Brito, Santiago Chamba, Diego Echeverría, Aharon De La Torre, David Panchi, Parameter Identification, Validation and Tunning of Speed Regulator Tool Using Heuristic Optimization Algorithms , Revista Técnica "energía": Vol. 20 No. 2 (2024): Revista Técnica "energía", Edición No. 20, ISSUE II
- Luis Cruz, Cristian Gallardo, Optimization of Solar Capture Using a Dual-Axis Tracker Based on an Astronomical Algorithm in a Small-Scale Photovoltaic Station , Revista Técnica "energía": Vol. 22 No. 1 (2025): Revista Técnica "energía", Edición No. 22, ISSUE I
- Carlos Lozada, David Panchi, Wilson Sánchez, Andrés Jacho, Linear Regression for the Identification of the Maximum Power Point in Hybrid Microgrids Implemented in HYPERSIM , Revista Técnica "energía": Vol. 20 No. 2 (2024): Revista Técnica "energía", Edición No. 20, ISSUE II
- Paulo Castro, Jaime Cepeda, Impact Analysis of Non-Dispatchable Renewable Energies Penetration in Power System Operational Security , Revista Técnica "energía": Vol. 22 No. 1 (2025): Revista Técnica "energía", Edición No. 22, ISSUE I
- Wilson Vásquez, Power Factor Assessment in Users with Power Generation Equipment for Self-Consumption , Revista Técnica "energía": Vol. 21 No. 1 (2024): Revista Técnica "energía", Edición No. 21, ISSUE I
- Edison Novoa, Gabriel Salazar Yépez, Eliana Buitrón, Gabriel Salazar Pérez, Methodological Proposal for Targeting Electric Subsidy "Tarifa De La Dignidad" in Residential Users of the Electric Companies of Ecuador , Revista Técnica "energía": Vol. 20 No. 1 (2023): Revista Técnica "energía", Edición No. 20, ISSUE I
- Alan Cuenca, Cristina Oña, Ismael Suquillo, Henry Miniguano, Design Methodology of Off-Grid PV Solar Powered Systems for Rural Areas in Ecuador , Revista Técnica "energía": Vol. 20 No. 1 (2023): Revista Técnica "energía", Edición No. 20, ISSUE I
- Julio Lascano, Luis Chiza, Roberth Saraguro, Carlos Quinatoa, Jessy Tapia, Demand Estimation for an Electric Vehicles Charging Station Through the Application of Probabilistic Methods , Revista Técnica "energía": Vol. 20 No. 1 (2023): Revista Técnica "energía", Edición No. 20, ISSUE I
- Wilson Pavón, Sandra Gualotuña, Droop control strategy for an isolated micro grid with distributed generation coupled to improve voltage stability , Revista Técnica "energía": Vol. 20 No. 2 (2024): Revista Técnica "energía", Edición No. 20, ISSUE II
- Alex Rivera, William Quitiaquez, Isaac Simbaña, Patricio Quitiaquez, Study of Steam Generation and Distribution in a Hospital to Improve Energy Efficiency Using Thermography, Ultrasound, and Gas Analyzer , Revista Técnica "energía": Vol. 20 No. 2 (2024): Revista Técnica "energía", Edición No. 20, ISSUE II
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Edy Ayala, Nuclear Fission Reactor Generations Safety Evolution Analysis , Revista Técnica "energía": Vol. 15 No. 2 (2019): Revista Técnica "energía", Edición No. 15
- Johnny Heredia, Edy Ayala , IoT and AI-Based Predictive Maintenance System Design for Express Auto Repair Shops , Revista Técnica "energía": Vol. 21 No. 2 (2025): Revista Técnica "energía", Edición No. 21, ISSUE II
- Cristopher Izquierdo, Braulio Pezantes, Edy Ayala, Prediction of the Optimal Dosage of Poly Aluminum Chloride for Coagulation in Drinking Water Treatment using Artificial Neural Networks , Revista Técnica "energía": Vol. 20 No. 1 (2023): Revista Técnica "energía", Edición No. 20, ISSUE I
- Adrián Pozo , Edy Ayala, Silvio Simani, Eduardo Muñoz, Indirect Speed Control Strategy for Maximum Power Point Tracking of the DFIG Wind Turbine System , Revista Técnica "energía": Vol. 17 No. 2 (2021): Revista Técnica "energía", Edición No. 17, ISSUE II
- Adrián Pozo , Eduardo Muñoz, Edy Ayala, Direct Speed Control of a 9 MW DFIG Wind Turbine , Revista Técnica "energía": Vol. 18 No. 1 (2021): Revista Técnica "energía", Edición No. 18, ISSUE I
This research proposes a control methodology applied to a Wind Power Generation Systems (WEGS) for Maximum Power Point Tracking (MPPT) technique based on a Fuzzy observer and complemented by a PI controller using the Direct Speed Control (DSC) method. This approach permits commanding the rotor side reference current through the variations of torque and electrical power in a Doubly Fed Induction Generator (DFIG) model. Consequently, the speed of the generator is controlled in order to obtain a rapid response of the maximum Power Coefficient (). The construction of this strategy starts with direct measurements of the electrical and mechanical variables using computational tools such as FAST and Matlab-Simulink for the wind turbine model simulations. This DSC strategy presents a rapid performance of the tracking considering the dynamics of a 1.5MW wind turbine and this strategy has been compared to a traditional PI controller improving the extraction of the output power.
Article visits 887 | PDF visits 595
Downloads
[1] M. M. Rezaei, "A nonlinear maximum power point tracking technique for DFIG-based wind energy conversion systems," Engineering Science and Technology, an International Journal, vol. 21, no. 5, pp. 901-908, July 2018.
[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.














