Direct Power Control of DFIG Using Sliding Mode Control Approach

  • Aicha Daoud
  • Nabil Derbel
Part of the Green Energy and Technology book series (GREEN)


This paper investigates direct active and reactive power control for a variable-speed wind energy conversion system with doubly fed induction generator (DFIG). The stator windings of DFIG are directly connected to the grid whereas rotor windings are connected to an inverter. A nonlinear sliding mode control (SMC) strategy is employed to control the instantaneous active and reactive powers of DFIG. Simulation results show the effectiveness of the proposed control law.


Wind energy conversion system Doubly fed induction generator Direct power control(DPC) Sliding mode control (SMC) 


  1. Barambones, O., Cortajarena, J. A., Alkorta, P., & de Durana, J. M. G. (2014). A real-time sliding mode control for awind energy system based on a doubly fed induction generator. Energies, 7, 6412–6433.CrossRefGoogle Scholar
  2. Bekakra, Y., & Attous, D. B. (2011). Sliding mode controls of active and reactive power of a DFIG with mppt for variable speed wind energy conversion. Australian Journal of Basic and Applied Sciences, 5, 2274–2286.Google Scholar
  3. Belmokhtar, K., Doumbia, M., & Agbossou, K. (2014). Novel fuzzy logic based sensorless maximum power point tracking strategy for wind turbine systems driven DFIG (doubly-fed induction generator). Energy, 76, 679–693.CrossRefGoogle Scholar
  4. Bouaziz, B., & Bacha, F. (2013). Direct power control of grid-connected converters using sliding mode controller. Electrical Engineering and Software Applications, 5, 801–806.Google Scholar
  5. Cardenas, R., Pena, R., Perez, M., Clare, J., Asher, G., & Wheeler, P. (2005). Control of a switched reluctance generator for variable-speed wind energy applications. IEEE Transactions on Energy Conversion, 20, 781–791.CrossRefGoogle Scholar
  6. Cheng, M. Y. Z. (2014). The state of the art of wind energy conversion systems and technologies: A review. Energy Conversion and Management, 88, 332–347.CrossRefGoogle Scholar
  7. Giglia, G. M., Pucci, C. S., & Vitale, G. (2007). Comparison of control techniques for three-phase distributed generation based on VOC and DPC, I.S.S.I.A.-C.N.R. (Institute on intelligent systems for the automation). IEEE Transactions on Energy Conversion, 1, 1–12.Google Scholar
  8. Hu, J., Nian, H., Hu, B., He, Y., & Zhu, Z. Q. (2010). Direct active and reactive power regulation of DFIG using sliding-mode control approach. IEEE Transactions on Energy Conversion, 25.CrossRefGoogle Scholar
  9. Kairous, D., & Belmadani, B. (2015). Robust fuzzy-second order sliding mode based direct power control for voltage source converter. International Journal of Advanced Computer Science and Applications, 6, 167–175.CrossRefGoogle Scholar
  10. Lajimi, A. B., & Shahabi, M. (2011). Modeling and control of a DFIG-based wind turbine during a grid voltage drop. ETASR Engineering Technology and Applied Science Research, 1, 121–125.Google Scholar
  11. Rajendran, S., & Jena, D. (2014). Control of variable speed variable pitch wind turbine at above and below rated wind speed. Electrical Engineering and Software Applications, 1, 1–14.Google Scholar
  12. Shukla, R. D., & Tripathi, R. K. (2014). A novel voltage and frequency controller for standalone DFIG based wind energy conversion system. Renewable and Sustainable Energy Reviews, 37, 69–89.CrossRefGoogle Scholar
  13. Utkin, V. (1993). Sliding mode control design principles and applications to electric drives. IEEE Transactions on Industrial Electronics, 40, 23–36.CrossRefGoogle Scholar
  14. Zhang, Y., Zhu, J., & Guo, Y. (2011). A simple method to reduce torque ripple in direct torque-controlled permanentmagnet synchronous motor by using vectors with variable amplitude and angle. IEEE Transactions on Energy Conversion, 58, 2848–2859.Google Scholar
  15. Zhang, Y., Li, Z., & Xu, W. (2012). A novel three-vectors-based predictive direct power control of doubly fed induction generator for wind energy applications. In Energy Conversion Congress and Exposition (ECCE) (pp. 793–800).Google Scholar

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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Control and Energy Management Laboratory (CEMLab), Sfax Engineering SchoolUniversity of SfaxSfaxTunisia

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