An Efficient Active and Reactive Power Control of DFIG for a Wind Power Generator

S. L. S. Louarem, D. E. C. Belkhiat, T. Bouktir, S. Belkhiat


During the last decade, wind energy gained much importance as an energy source in power systems. DFIG energy is one of the most widely accepted types of renewable energy generation because of its several benefits. This paper presents a comparative study on the performance of different control strategies for DFIG wind turbines: proportional–integral (PI), Artificial Neural Networks (ANN), H, and adaptive Fuzzy PI controller. Simulation results show that DFIG’s performance, dynamic response, and robustness against machine parameter variations are improved with H control technique.


wind energy; DFIG; PI controller; ANN controller; H_∞ controller; adaptive fuzzy PI controller

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B. Yang, X. Zhang, T. Yu, H. Shu, Z. Fang, “Grouped grey wolf optimizer for maximum power point tracking ofdoubly-fed induction generator based wind turbine”, Energy Conversion Management, Vol. 133, pp. 427-443, 2017

S. V. Varzaneh, M. Abedi, G. B. Gharehpetian, “A new simplified model for assessment of power variation of DFIG-based wind farm participating in frequency control system”, Electric Power Systems Research, Vol. 148, pp. 220–229, 2017

D. K. V. Sagiraju, Y. P. Obulesu, S. B. Choppavarapu, “Dynamic performance improvement of standalone battery integrated PMSG wind energy system using proportional resonant controller”, Engineering Science and Technology, an International Journal, Vol. 20, No. 4, pp. 1353-1365, 2017

O. P. Bharti, R. K. Saket, S. K. Nagar, “Controller Design of DFIG Based Wind Turbine by Using Evolutionary Soft Computational Techniques”, Engineering, Technology & Applied Science Research Vol. 7, No. 3, pp. 1732-1736, 2017

H. Nian, C. Cheng, Y. Song, “Coordinated Control of DFIG System based on Repetitive Control Strategy under Generalized Harmonic Grid Voltages”, Journal of Power Electronics, Vol. 17, No. 3, pp. 733-743, 2017

V. N. A. Duggirala, V. N. K. Gundavarapu, “Improved LVRT for grid connected DFIG using enhanced field oriented control technique with super capacitor as external energy storage system”, Engineering Science and Technology, an International Journal, Vol. 19, pp. 1742–1752, 2016

E. G. Shehata, “Sliding mode direct power control of RSC for DFIGs driven by variable speed wind turbines”, Alexandria Engineering Journal, Vol. 54, No. 4, pp. 1067-1075, 2015

F. Poitiers, T. Bouaouiche, M. Machmoum, “Advanced control of a doubly-fed induction generator for wind energy conversion”, Electric Power Systems Research, Vol. 79, pp. 1085–1096, 2009

F. E. V. Taveiros, L. S. Barros, F. B. Costa, “Back-to-back converter state-feedback control of DFIG (doubly-fed induction generator)-based wind turbines”, Energy, Vol. 89, pp. 896-906, 2015

Z. Xin-fang, X. Da-ping, L. Yi-bing, “Predictive Functional Control of a Doubly FedInduction Generator for Variable Speed Wind Turbines”, 5th World Congress on Intelligent Control and Automation, Hangzhou, China, June 15-19, 2004

J. Sguarezi Filho, M. E. Oliveira Filho, E. Ruppert, “A Predictive Power Control for Wind Energy”, North American Power Symposium 2010, Arlington, USA, September 26-28, 2010

K. Bedoud, M. Ali-Rachedi, T. Bahi, R. Lakel, “Adaptive Fuzzy Gain Scheduling of PI Controller for control of the Wind Energy Conversion Systems”, Energy Procedia, Vol. 74, pp. 211–225, 2015

K. Bedoud, M. Ali-Rachedi, T. Bahi, R. Lakel, A. Grid, “Robust Control of Doubly Fed Induction Generator for Wind Turbine Under Sub-Synchronous Operation Mode”, Energy Procedia, Vol. 74, pp. 886–899, 2015

S. Abdelmalek, H. Belmili, “A New Robust H_∞ Control Power”, in: Handbook of Research on Advanced Intelligent Control Engineering and Automation, IGI Global, 2015

Boualouch, T. Nasser, A. Boukhriss, A. Frigui, “Robust Power Control of a DFIG used in Wind Turbine Conversion System”, International Energy Journal, Vol. 17, No. 1, pp. 1-10, 2017

S. Ebrahimkhani, “Robust fractional order sliding mode control of doubly-fed induction generator (DFIG)-based wind turbines”, ISA Transactions, Vol. 63, pp. 343-3540, 2016

Tapia, G. Tapia, J. X. Ostolaza, J. Ramon Saenz, “Modeling and Control of a Wind Turbine Driven Doubly Fed Induction Generator”, IEEE Transactions On Energy Conversion, Vol. 18, No. 2, pp. 194-204, 2003

L. M. Fernandez, C. A. Garcia, F. Jurado, “Comparative study on the performance of control systems for doubly fed induction generator (DFIG) wind turbines operating with power regulation”, Energy, Vol. 33, pp. 1438–1452, 2008

E. S. Abdin, W. Xu, “Control Design and Dynamic Performance Analysis of a Wind Turbine-Induction Generator Unit”, IEEE Transactions On Energy Conversion, Vol. 15, No. 1, pp. 91-96, 2000

S. El Aimani, Modelisation de Differents Technologies d'Eoliennes Intégrées Dans un Reseau de Moyenne Rension, PhD Thesis, Ecole Centrale de Lille, Universite des Sciences et Technologie de Lille, 2004 (in French)

T. Ghennam, K. Aliouane, F. Akel, B. Francois, E. M. Berkouk, “Advanced control system of DFIG based wind generators for reactive power production and integration in a wind farm dispatching”, Energy Conversion and Management, Vol. 105, pp. 240–250, 2015

S. G. Varzaneh, M. Abedi, G. B. Gharehpetian, “A new simplified model for assessment of power variation of DFIG-based wind farm participating in frequency control system”, Electric Power Systems Research, Vol. 148, pp. 220–229, 2017

S. Li, H. Wang, Y. Tian, A. Aitouch, J. Klein, “Direct power control of DFIG wind turbine systems based on an intelligent proportional-integral sliding mode control”, ISA Transactions, Vol. 64, pp. 431-439, 2016

S. Louarem, S. Belkhiat, D. E. C. Belkhiat, “A Control Method using PI/Fuzzy Controllers Based-DFIG in Wind Energy Conversion System”, 2013 IEEE PowerTech Grenoble, Grenoble, France, June 16-21, 2013

R. Ata, “Artificial neural networks applications in wind energy systems: a review”, Renewable and Sustainable Energy Reviews, Vol. 49, pp. 534–562, 2015

M. Alberdi, M. Amundarain, A. Garrido, I. Garrido, “Neural control for voltage dips ride-through of oscillating water column-based wave energy converter equipped with doubly-fed induction generator”, Renewable Energy, Vol. 48, pp. 16-26, 2012

S. Skogestad, I. Postlethwaite, Multivariable Feedback Control: Analysis and Design, John Wiley & Sons, 2007

S. Khoete, Y. Manabe, M. Kurimoto, T. Funabashi, T. Kato, “Robust H-infinity Control for DFIG to Enhance Transient Stability during Grid Faults”, World Congress on Engineering and Computer Science, San Francisco, USA, October 19-26, 2016

G. Duc, S. Font, Commande H_∞ et μ Analyse des Outils Pour la Robustesse, Hermes Science Publications, 1999 (in French)

M. Brahim, I. Bahri, Y. Bernard, “Real time implementation of H infinity and RST motion control of rotary traveling wave ultrasonic motor”, Mechatronics, Vol. 44, pp. 14–23, 2017

Z. Y. Zhao, M. Tomizuka, S. Isaka, “Fuzzy Gain Scheduling of PID Controllers”, The First IEEE Conference on Control Applications, Dayton, USA, September 13-16, 1992

G. Aissaoui, A. Tahour, M. Abid, N. Essounbouli, F. Nollet, “A Fuzzy-PI control technique designed for Power Control of Wind Turbine based on Induction Generator”, Advanced Materials Research, Vol. 875-877, pp. 1676-1682, 2014

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