Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Sensorless model predictive control scheme of wind-driven doubly fed induction generator in dc microgrid

Sensorless model predictive control scheme of wind-driven doubly fed induction generator in dc microgrid

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Renewable Power Generation — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This study presents a novel sensorless model predictive control (MPC) strategy of a wind-driven doubly fed induction generator (DFIG) connected to a dc microgrid. In this configuration, the stator is directly connected to the dc microgrid through a diode rectifier, and the rotor is fed by only a voltage source converter (VSC). This connection structure brings considerable benefits such as simple control scheme and reduced power converter cost. In order to obtain sensorless operation, a simple and effective sensorless position detection technique has been proposed. It is based on the detection of the stator frequency, and it is designed to operate without any machine parameters. Thus, the proposed sensorless method offers as a model-free solution. In addition, the MPC strategy has been used as a current controller to overcome the weaknesses of the inner control loop and to consider the discrete-time operation of the VSC. The proposed control system is robust against machine parameters, speed, and load variations. To verify the dynamic and steady-state performances of the proposed sensorless MPC scheme under various speed and load conditions, experimental studies are performed with 6.4 kW DFIG. Experimental results aim to show that the proposed sensorless MPC strategy works properly at steady state and in transient.

References

    1. 1)
      • 25. Abu-Rub, H., Iqbal, A., Guzinski, J.: ‘High performance control of AC drives with Matlab/Simulink models’ (John Wiley and Sons Ltd., 2012).
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
      • 21. Bayhan, S., Haitham, A.: ‘Model predictive control of quasi-Z source three-phase four-leg inverter’. Forty-first Annual Conf. of the IEEE Industrial Electronics Society, Yokohama, Japan, 9–12 November 2015. pp. 362367.
    9. 9)
      • 31. Bayhan, S., Abu-Rub, H.: ‘Model predictive sensorless control of standalone doubly fed induction generator’. Fortieth Annual Conf. of the IEEE Industrial Electronics Society, Texas, US, October 2014, pp. 21662172.
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • 3. Bayhan, S., Abu-Rub, H.: ‘Performance comparison of two sensorless control methods for standalone doubly-fed induction generator’. Sixteenth Int. Power Electronics and Motion Control Conf. and Exposition (PEMC), Antalya, Turkey, September 2014, pp. 9961000.
    16. 16)
    17. 17)
    18. 18)
    19. 19)
      • 11. Heng, N., Peng, C., Ziqiang, Z.: ‘Direct power control of doubly fed induction generator without phase-locked loop in synchronous reference frame during frequency variations’. IET Renew. Power Gener., 2015, 9, (6), pp. 576586.
    20. 20)
    21. 21)
    22. 22)
    23. 23)
      • 7. Demirbas, S., Bayhan, S.: ‘Grid synchronization of doubly fed induction generator in wind power systems’. Int. Conf. on Power Engineering, Energy and Electrical Drives (POWERENG), Malaga, Spain, May 2011, pp. 15.
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
    30. 30)
      • 13. Mohammad, P., Hasan, R., Mohammad, M.: ‘Two fuzzy-based direct power control strategies for doubly-fed induction generators in wind energy conversion systems’, Energy, 2013, 51, (0), pp. 154162.
    31. 31)
      • 33. Sertac, B., Haitham, A.: ‘An autonomous frequency and voltage controller for standalone doubly fed induction generator’. 2015 IEEE Conf. on Energy Conversion, Johar Bahru, Malaysia, 19–21 October 2015. pp. 123128.
    32. 32)
    33. 33)
      • 10. Demirbas, S., Sertac, B.: ‘Active and reactive power control of doubly fed induction generator using direct power control technique’. Fourth Int. Conf. on Power Engineering Energy and Electrical Drives, Istanbul, Turkey, May 2013, pp. 4145.
    34. 34)
    35. 35)
    36. 36)
    37. 37)
    38. 38)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2015.0347
Loading

Related content

content/journals/10.1049/iet-rpg.2015.0347
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address