DFIG-based wind turbine system using four-level FSVM strategy

  • Habib BENBOUHENNI Ecole Nationale Polytechnique d'Oran Maurice Audin, Oran, Algeria
  • BOUDJEMA Zinelaabidine university of Chlef
  • Abdelkader BELAIDI Ecole Nationale Polytechnique d'Oran Maurice Audin, Oran, Algeria
Keywords: Keywords—Direct vector command; doubly fed induction generator; space vector modulation; fuzzy space vector modulation; fuzzy logic.


Abstract—Traditional direct vector command (DVC) structures which include proportional-integral (PI) regulators of a doubly fed induction generator (DFIG) driven have some disadvantages such as parameter tuning complications, mediocre dynamic performances and reduced robustness. Thus, based on analysis of the DFIG model supplied by new modulation technique, this article addresses a four-level space vector modulation (SVM) based on fuzzy logic algorithm (FSVM). The classical DVC command with SVM technique has large ripples on the stator active and stator reactive developed by the DFIG. In order to solve this disadvantage, the DVC command with FSVM technique is proposed. Simulation results show the effectiveness of the proposed command scheme especially in power ripples behavior, reference tracking test and robustness against generator parameters variations.


[1] F. Amrane, A. Chaiba, “A novel direct power control for grid-connected doubly fed induction generator based on hybrid artificial intelligent control with space vector modulation,” Rev. Roum. Sci. Techn.- Electrotechn. Et Energ., Vol. 61, No. 3, 2016, pp. 263-268.
[2] A. Medjber, A. Moualdia, A. Mellit, M. A. Guessoum, « Comparative study between direct and indirect vector control applied to a wind turbine equipped with a double-fed asynchronous machine article, » International Journal of Renewable Energy Research, Vol. 3, No. 1, pp. 88-93, 2013.
[3] F. Amrane, A. Chaiba, B. E. Babes, S. Mekhilef, “Design and implementation of high performance field oriented control for grid-connected doubly fed induction generator via hysteresis rotor current controller,” Rev. Roum. Sci. Techn.- Electrotechn. Et Energ., Vol. 61, No. 4, 2016, pp. 319-324.
[4] A. Idir, M. Kidouche, « Direct torque control of three phase induction motor drive using fuzzy logic controllers for low torque ripple, » Proceedings Engineering & Technology, Vol. 2, pp. 78-83, 2013.
[5] M. Gaballah, M. El-bardini, « Low cost digital signal generation for driving space vector PWM inverter, » Ain Shams Engineering Journal, Vol. 4, pp. 763-774, 2013.
[6] M. A. Moghadam, R. Noroozian, S. Jalilzadeh, «Modeling, simulation and control of matrix converter for variable speed wind turbine system, » Iranian Journal of Electrical & Electronic Engineering, Vol. 11, No. 3, pp. 265-275, 2015.
[7] A. Chikhi, « Direct torque control of induction motor based on space vector modulation using a fuzzy logic speed controller, » Jordan Journal of Mechanical and Industrial Engineering, Vol. 8, No. 3, pp. 169-176, 2014.
[8] Z. Boudjema, A. Meroufel, E. Bounadja, Y. Djerriri, « Non linear control of a doubly fed induction generator supplied by a matrix converter for wind energy conversion systems, » Journal of Electrical Engineering, Vol. 14, No. 2, 2014.
[9] H. Benbouhenni, « 36 Sectors DTC based on fuzzy logic of sensorless induction motor drives, » Research & Reviews: Journal of Engineering and Technology. Vol. 7, No. 1, pp. 24-32, 2018.
[10] H. Benbouhenni, Z. Boudjema, « Speed regulator and hysteresis based on artificial intelligence techniques of three-level DTC for induction motor, » Acta Electrotechnica et Informatica, Vol. 17, No. 4, pp. 50-56, 2017.