This paper presents a new control strategy for the rotor side converter of Doubly-Fed Induction Generator based Wind Turbine systems, under severe voltage dips. The main goal is to fulfill the Low Voltage Ride Through performance, required by modern grid codes. In this respect, the key point is to limit oscillations (particularly on rotor currents) triggered by line faults, so that the system keeps operating with graceful behavior. To this aim, a suitable feedforward-feedback control solution is proposed for the DFIG rotor side. The feedforward part exploits oscillation-free reference trajectories, analytically derived for the system internal dynamics. State feedback, designed accounting for control voltage limits, endows the system with robustness and further tame oscillations during faults. Moreover, improved torque and stator reactive power tracking during faults is achieved, proposing an exact mapping between such quantities and rotor-side currents, which are conventionally used as controlled outputs. Numerical simulations are provided to validate the capability of the proposed approach to effectively cope with harsh faults.
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International Renewable Energy Agency (IRENA). Renewable Capacity Statistics 2016. IRENA, 2016.
V. Yaramasu, B. Wu, P. C. Sen, et al. High power wind energy conversion systems: State-of-the-art and emerging technologies. Proceedings of IEEE, 2015, 103(5): 740–788.
A. Sureda, A. Munoz, R. Pena, et al. Control of a brushless doubly-fed induction generator via a matrix converter. IEEE Power Electronics and Applications (EPE 2011), Birmingham: IEEE, 2011.
USA Federal Energy Regulatory Commission. Interconnection for Wind Energy. 2005: Docket No. RM05-4-001-Order No. 661.
E.ON Netz Gmbh. Grid Code, High and Extra High Voltages. 2006: Docket No. RM05-4-001-Order No. 661-A.
F. K. A. Lima, A. Luna, P. Rodriguez, et al. Rotor voltage dynamics in the doubly fed induction generator during grid faults. IEEE Transactions on Power Electronics, 2010, 25(1): 118–130.
L. Yang, Z. Xu, J. Ostergaard, et al. Advanced control strategy of DFIG wind turbines for power system fault ride through. IEEE Transactions on Power Systems, 2012, 27(2): 713–722.
K. E. Okedu, S. M. Muyeen, R. Takahashi, et al. Wind farms fault ride through using DFIG with new protection scheme. IEEE Transactions on Sustainable Energy, 2012, 3(3): 242–254.
P. Baiju, T. Rajeev. Low voltage ride through in DFIG based wind turbines: A review. International Conference on Control Communication & Computing India (ICCC), Trivandrum: IEEE, 2015: 337–342.
D. Xie, Z. Xu, L. Yang, et al. A comprehensive LVRT control strategy for DFIG wind turbines with enhanced reactive power support. IEEE Transactions on Power Systems, 2013, 28(3): 3302–3310.
Z. Zou, X. Xiao, Y. Liu, et al. Integrated protection of DFIG-based wind turbine with a resistive-type SFCL under symmetrical and asymmetrical faults. IEEE Transactions on Applied Superconductivity, 2016, 26(7): DOI https://doi.org/10.1109/TASC.2016.2574352.
Y. Shen, D. Ke, W. Qiao, et al. Transient reconfiguration and coordinated control for power converters to enhance the LVRT of a DFIG wind turbine with an energy storage device. IEEE Transactions on Energy Conversion, 2015, 30(4): 1679–1690.
Q. Huang, X. Zou, D. Zhu, et al. Scaled current tracking control for doubly fed induction generator to ride-through serious grid faults. IEEE Transactions on Power Electronics, 2016, 31(3): 2150–2166.
E. Bogalecka, Z. Krzeminski. Control systems of doubly-fed induction machine supplied by current controlled voltage source inverter. Proceedings of the 6th International Conference on Electrical Machines and Drives, Oxford: IET, 1993: 168–172.
S. Peresada, A. Tilli, A. Tonielli. Indirect stator flux-oriented output feedback control of a doubly fed induction machine. IEEE Transactions on Control System Technology, 2003, 11(6): 875–888.
G. Brando, L. Cozza, C. del Pizzo. Optimized control of active front-ends to improve efficiency and power quality in systems with closed-loop controlled electrical drives. Energy Efficiency in Motor Driven Systems, Berlin: Springer, 2003: 508–514.
A. Tilli, C. Conficoni, A. Hashemi. State reference design and saturated control of doubly-fed induction generators under voltage dips. International Journal of Control, 2017, 90(4): 834–854.
A. Tilli, C. Conficoni, A. Hashemi. An effective control solution for doubly-fed induction generator under harsh balanced and unbalanced voltage sags. Control Engineering Practice, 2019, 84: 172–182.
W. Leonhard. Control of Electrical Drives. 3rd ed. Berlin: Springer, 2001.
H. A. Mohammadpour, E. Santi. Modeling and control of gate-controlled series capacitor interfaced with a DFIG-based wind farm. IEEE Transactions on Industrial Electronics, 2015, 62(2): 1022–1033.
F. D. Bianchi, H. D. Battista, R. J. Mantz. Wind Turbine Control Systems: Principles, Modelling and Gain Scheduling Design. London: Springer, 2006.
B. Shen, B. Mwinyiwiwa, Y. Zhang, et al. Sensorless maximum power point tracking of wind by DFIG using rotor position phase lock loop (PLL). IEEE Transactions on Power Electronics, 2009, 24(4): 942–951.
R. Pena, J. C. Clare, G. M. Asher. Doubly fed induction generator using back-to-back PWM converters and its application to variable speed wind-energy generation. IEE Proceedings-Electric Power Applications, 1996, 143(3): 231–241.
A. Isidori. Nonlinear Control Systems. Hiedelberg: Springer, 1999.
A. Tilli, C. Conficoni. Adaptive observer for three phase line voltage under unbalanced conditions. IFAC Proceedings Volumes, 2010, 43(14): 1356–1361.
J. Ruan, Z. Lu, Y. Qiao, et al. Analysis on applicability problems of the aggregation-based representation of wind farms considering DFIGs’ LVRT behaviors. IEEE Transactions on Power Systems, 2016, 31(6): 4953–4965.
Ahmad HASHEMI was born in Kermanshah, Iran, in July 1984. He received the B.Sc. and M.Sc. degrees in Electrical Engineering from K.N.Toosi University of Technology, Tehran, Iran, and Madani University, Tabriz, Iran, in 2006 and 2009, respectively. In 2014, he started his Ph.D. in Automatic Control with the Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna, Italy. He was a visiting Ph.D. student with the Department of Electromagnetic Engineering, KTH Royal Institute of Technology, Sweden, in 2017. His current research interests include modeling, control and applications of the FACTS devices and renewable energy generation systems.
Andrea TILLI is Associate Professor at the Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI) of the University of Bologna. In 2000, he received the Ph.D. degree in System Science and Engineering from the same university. He is member of the Center for Research on Complex Automated Systems “Giuseppe Evangelisti” (CASY), established within DEI. His current research interests include applied nonlinear control techniques, active power filters, wind turbines, electric drives for motion control and energy generation, thermal control of manycore systems-on-chip and supercomputers.
Christian CONFICONI received the M.Sc. degree in Electronic Engineering, from the University of Bologna, Italy in 2008. In 2013 he received the Ph.D. degree in Automatic Control, from the same institution. Currently he is a post doctoral researcher at the Department of Electrical, Electronic and Information Engineering (DEI), University of Bologna. His research interests include applied nonlinear control solutions for power electronic and electromechanical systems oriented to power quality enhancement, adaptive observers for electric drives sensorless operation, modeling and energyoriented optimal thermal management of advanced computing platforms.
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Hashemi, A., Conficoni, C. & Tilli, A. A novel control solution for improved trajectory tracking and LVRT performance in DFIG-based wind turbines. Control Theory Technol. 18, 43–55 (2020). https://doi.org/10.1007/s11768-020-8038-4
- Doubly-fed induction generator (DFIG)
- wind turbine (WT)
- feedforward-feedback control
- mapping solution
- low voltage ride through (LVRT)