Commenced in January 2007
Paper Count: 30127
Backstepping Controller for a Variable Wind Speed Energy Conversion System Based on a DFIG
Abstract:In this paper we present a contribution for the modeling and control of wind energy conversion system based on a Doubly Fed Induction Generator (DFIG). Since the wind speed is random the system has to produce an optimal electrical power to the Network and ensures important strength and stability. In this work, the Backstepping controller is used to control the generator via two converter witch placed a DC bus capacitor and connected to the grid by a Filter R-L, in order to optimize capture wind energy. All is simulated and presented under MATLAB/Simulink Software to show performance and robustness of the proposed controller.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1474543Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 275
 A. Boualouch, A. Frigui, T. Nasser, A. Essadki, A. Boukhriss, “Control of a Doubly-Fed Induction Generator for Wind Energy Conversion Systems by RST Controller”, International Journal of Emerging Technology and Advanced Engineering, Vol. 4, pp. 93-99, August 2014.
 B. Fredo,L. Marco, and M. Ke,Power Electronics Converters for Wind turbine Systems, IEEE Transaction on industry applications, vol. 48, No. 2, March/April 2012
 R. Chakib, A. Essadki, M. Cherkaoui, “Modeling and Control of a Wind System based on a DFIG by Active Disturbance rejection control”, International Review on Modeling and Simulations, Vol. 7, pp. 626-637, August 2014.
 R. Chakib, A. Essadki, M. Cherkaoui, “Active Disturbance Rejection Control for Wind System Based On a DFIG”, International Journal of Electrical Computer Energetic Electronic and Communication Engineering, Vol. 8, pp. 1306-1315, 2014.
 M. Rachidi, B. B. Idrissi, “Robust Nonlinear Backstepping Control Design for Doubly Fed Induction Machine in Wind Power Generation”, International Journal of Research in Engineering & Advanced Technology, Vol. 3, pp. 137-145, Feb-Mar 2015.
 M. Nadour, A. Essadki, T. Nasser. “Comparative Analysis between PI & Backstepping Control Strategies of DFIG Driven by Wind Turbine”. International Journal of Renewable Energy Research, Vol. 7, No 3, pp. 1307-1316, September 2017.
 D. R. Rush and G. W. David, “Nonlinear Power Flow Control Design”, Springer, New York, NY, USA, 2011.
 B. Bossoufi, M. Karim, A. Lagrioui, & all, “Observer backstepping control of DFIG-Generators for wind turbines variable-speed: FPGA-based implementation”. Renewable Energy, Elsevier, Vol. 81, pp. 903-917, 2015.
 C. Z. El Archi, T. Nasser, A. Essadki, “Power Control of DFIG Based Wind System: Comparison between Active Disturbance Rejection Controller and PI Controller”, ARPN Journal of Engineering and Applied Sciences, Vol. 11, pp. 13980-13989, December 2016.
 A. Boualouch, A. Essadki, T. Nasser, A. Boukhriss, A. Frigui, “Power Control of DFIG in WECS Using Backstipping and Sliding Mode Controller”, International Journal of Electrical Computer Energetic Electronic and Communication Engineering, Vol. 9, pp. 612-618, 2015.
 K. Ghedamsi, E.M. Berkouk, “Control of Wind Generator Associated to a Flywheel Energy Storage System”, Renewable Energy, Elsevier, Vol. 33, pp. 2145-2156, 2008.
 F. Ikhouane, M. Krstc, “Robustness of the Tuning Functions Adaptive Backstepping Design for Linear Systems”, IEEE Transl. Automat. Contr., Vol. 43, pp. 431-437, 1998.
 M. El Azzaoui, H. Mahmoudi, K. Boudaraia, “Backstepping Control of wind and photovoltaic hybrid Renewable Energy System”. International Journal of Power Electronics and Drive Systems, Vol.7, pp. 677-686, September 2016.
 S. Mensou, A. Essadki, T. Nasser, B. B. Idrissi, “An Efficient Nonlinear Backstepping Controller Approach of a Wind Power Generation System Based on a DFIG”. International Journal of Renewable Energy Research, Vol.7, No 4, pp. 1520-1528, December 2017.
 L. Jerbi, L. Krichen, A. Ouali, “A fuzzy logic supervisor for active and reactive power control of a variable speed wind energy conversion system associated to a flywheel storage system”. Electric power systems research, Elsevier, Vol. 79(6), pp 919-925, 2009.