Nonlinear control of grid-connected wind energy conversion system without mechanical variables measurements

Karim Noussi, Abdelmajid Abouloifa, Hanane Katir, Ibtissam Lachkar, Fouad Giri

Abstract


This article addresses the problem of controlling an overall wind energy conversion system (WECS) formed by a wind turbine connected to the grid via a doubly fed induction generator (DFIG) and an AC/DC/AC converter. The main control objectives are fourfold: (i) designing an output feedback speed controller that makes the DFIG rotate at the optimal value delivered by the MPPT strategy, (ii) controlling the stator reactive power so as to be null, (iii) guaranteeing the DC-link voltage in the grid side converter to be at a given constant value, (iv) ensuring a unitary power factor. A high gain observer is synthesized, in order to provide estimated values of the mechanical variables. To achieve the control objectives, a sliding mode controller involving the mechanical observer is designed. The performance of the system configuration based on the 2MW-DFIG with the proposed controller is evaluated by a numerical simulation under a realistic wind profile using MATLAB/SIMULINK/SimPowerSystems environment.

References


N. Goudarzi and W. D. Zhu, "A review on the development of wind turbine generators across the world," ASME International Mechanical Engineering Congress and Exposition, vol. 45202, pp. 1257-1265, 2012.

B. Wu, Y. Lang, N. Zargari, and S. Kouro, "Power conversion and control of wind energy systems," John Wiley & Sons, Vol. 76, 2011.

V. Meenakshi, and S. Paramasivam, "Control Strategy Used in DFIG and PMSG Based Wind Turbines an Overview," Int. Journal of Power Electronics and Drive Systems, vol. 8, no. 3, pp. 1160, 2017.

M. A. S. Ali, "Utilizing Active Rotor-Current References for Smooth Grid Connection of a DFIG-Based Wind-Power System," Advances in Electrical and Computer Engineering, Vol. 20, no. 4, pp. 91-99, 2020.

K. Noussi, A. Abouloifa, H. Katir and I. Lachkar, "Nonlinear Control of Active and Reactive Power in Grid-tied DFIG-WECS," ICEIT, pp. 1-6, 2020.

S. Kail, A. Bekri, and A. Hazzab, "Study of automatic generation control in two area power system with DFIG-based wind energy conversion," Int. J. Power Electron. Drive Syst., vol. 10, no. 4, 2019.

B. Bensahila, A. Allali, H. Merabet Boulouiha and M. Denai, "Modeling, Simulation and Control of a Doubly-Fed Induction Generator for Wind Energy, Conversion Systems," International Journal of Power Electronics and Drive Systems, vol. 10, no. 3, pp. 1197-1210, 2020.

Z. Nora and L. Hocine, "Active and Reactive Power Control of a Doubly Fed Induction Generator," Int. J. Power Electron. Drive Syst., vol. 5, no. 2, pp. 8, 2014.

F. Mazouz, S. Belkacem, I. Colak, S. Drid and Y. Harbouche, "Adaptive direct power control for double fed induction generator used in wind turbine," International Journal of Electrical Power & Energy Systems, Vol. 114, 2020.

K. Boureguig, A. Mansouri and A. Chouya, "Performance enhancements of DFIG wind turbine using fuzzy-feedback linearization controller augmented by high-gain observer," International Journal of Power Electronics and Drive Systems, Vol. 11, no. 1, 2020.

M. Nadour, A. Essadki, and T. Nasser, "Coordinated control using backstepping of DFIG-based wind turbine for frequency regulation in high wind energy penetrated system," Mathematical Problems in Engineering, 2020.

Q.V. Ngo, Y. Chai and T.T. Nguyen, "The maximum power point tracking based-control system for small-scale wind turbine using fuzzy logic," International Journal of Electrical and Computer Engineering, Vol. 10, no. 4, 2020.

G. Rigatos and P. Siano, "DFIG control using differential flatness theory and extended Kalman filtering," IFAC Proceedings Volumes, Vol. 45 no. 6, 2012.

M. Morawiec, K. Blecharz and A. Lewicki, "Sensorless Rotor Position Estimation of Doubly Fed Induction Generator Based on Backstepping Technique," IEEE Transactions on Industrial Electronics, vol. 67, no. 7, pp. 5889-5899, 2019.

B. Yang, T. Yu, H. Shu, J. Dong, and L. Jiang, "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Appl. Energy, vol. 210, pp. 711–723, 2018.

K. Noussi, A. Abouloifa, H. Katir, and I. Lachkar, "Modeling and Control of a Wind Turbine Based On a Doubly Fed Induction Generator," WCCS, IEEE, pp. 1–5, 2019.

H. S. Ko, G. G. Yoon, N. H. Kyung and W. P. Hong, "Modeling and control of DFIG-based variable-speed wind-turbine," Electric Power Systems Research, vol. 78, no. 11, 2008.

I. Yasmine and B. B. El Bekkali Chakib, "Power control of DFIG-generators for wind turbines variable-speed," Electric Power Systems Research, vol. 8, no. 1, 2017.

J.J.E. Slotine and W. Li, "Applied nonlinear control," Englewood Cliffs, NJ: Prentice hall, Vol. 199, no. 1, 1991.

A.T. Azar and Q. eds. Zhu, "Advances and applications in sliding mode control systems," Cham, Switzerland: Springer International Publishing, 2015.

A. Merabet, H. Eshaft, and A. A. Tanvir, "Power-current controller based sliding mode control for DFIG-wind energy conversion system," IET Renew. Power Gener., vol. 12, no. 10, 2018.

M.E.B. Aguilar, D.V. Coury, R. Reginatto and R.M. Monaro, "Multi-objective PSO applied to PI control of DFIG wind turbine under electrical fault conditions," Electric Power Systems Research, Vol. 180, pp. 106081, 2020.

B. Abdelhak and B. Bachir, "A high gain observer based sensorless nonlinear control of induction machine," International Journal of Power Electronics and Drive Systems, Vol. 5, no. 3, 2015.

H. K. Khalil, "High-gain observers in nonlinear feedback control," Society for Industrial and Applied Mathematics, 2017.

F. Golnary and H. Moradi "Dynamic modelling and design of various robust sliding mode controls for the wind turbine with estimation of wind speed," Applied Mathematical Modelling, Vol. 65, pp. 566-585, 2019.




DOI: http://doi.org/10.11591/ijpeds.v12.i2.pp%25p

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