An Efficient Active and Reactive Power Control of DFIG for a Wind Power Generator
Abstract
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.
Keywords:
wind energy, DFIG, PI controller, ANN controller, H_∞ controller, adaptive fuzzy PI controllerDownloads
References
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 DOI: https://doi.org/10.1016/j.enconman.2016.10.062
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 DOI: https://doi.org/10.1016/j.jestch.2017.03.010
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 DOI: https://doi.org/10.48084/etasr.1231
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 DOI: https://doi.org/10.6113/JPE.2017.17.3.733
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 DOI: https://doi.org/10.1016/j.jestch.2016.07.014
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 DOI: https://doi.org/10.1016/j.aej.2015.06.006
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 DOI: https://doi.org/10.1016/j.epsr.2009.01.007
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 DOI: https://doi.org/10.1016/j.energy.2015.06.027
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 DOI: https://doi.org/10.1109/NAPS.2010.5619960
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 DOI: https://doi.org/10.1016/j.egypro.2015.07.580
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 DOI: https://doi.org/10.1016/j.egypro.2015.07.824
S. Abdelmalek, H. Belmili, “A New Robust H_∞ Control Power”, in: Handbook of Research on Advanced Intelligent Control Engineering and Automation, IGI Global, 2015 DOI: https://doi.org/10.4018/978-1-4666-7248-2.ch022
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 DOI: https://doi.org/10.1016/j.isatra.2016.03.003
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 DOI: https://doi.org/10.1109/TEC.2003.811727
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 DOI: https://doi.org/10.1016/j.energy.2008.05.006
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 DOI: https://doi.org/10.1109/60.849122
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 DOI: https://doi.org/10.1016/j.enconman.2015.07.058
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 DOI: https://doi.org/10.1016/j.epsr.2017.03.033
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 DOI: https://doi.org/10.1016/j.isatra.2016.06.003
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 DOI: https://doi.org/10.1109/PTC.2013.6652463
R. Ata, “Artificial neural networks applications in wind energy systems: a review”, Renewable and Sustainable Energy Reviews, Vol. 49, pp. 534–562, 2015 DOI: https://doi.org/10.1016/j.rser.2015.04.166
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 DOI: https://doi.org/10.1016/j.renene.2012.04.014
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 DOI: https://doi.org/10.1016/j.mechatronics.2017.04.003
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 DOI: https://doi.org/10.4028/www.scientific.net/AMR.875-877.1676
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