Skip to main content

Design and Simulation of Wind Farm Model Using Doubly-Fed Induction Generator Techniques

  • Conference paper
  • First Online:
Proceedings of International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 299))

Abstract

This paper presents the design and simulation of wind farm model using doubly-fed induction generation (DFIG) techniques and MATLAB platform. To control the output active power of DFIG, the rotor flux oriented vector has been used to improve the vector control strategy instead of stator flux oriented vector control. The rotor flux control technique provide better power tracking accuracy compared with traditional technique represented by stator flux vector control methods. The performance of DFIG under various wind farm grid disturbance has been evaluated and examined in this work. To overcome the stability of voltage in transmission system device, the implementation of dynamic reactive power compensators is used at the tip of ordinary combination to improve the DFIG during disturbances. This includes static VAR and synchronous compensators to improve the transient performance and keeping the turbine in services during the faults of grid. In term of time response, amount of reactive power injection and the cost of applications, the performance of both techniques has been compared and investigated. The suggested solution of integration between energy storage and GFIG grid connection shows better smoothing in the output power during wind rate variation. In addition, the principle of wind farm under twice fed asynchronous generation is connect through 3-phase converter type AC-DC-AC to the network and rotor.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Zamzoum, O., et al.: Power control of variable speed wind turbine based on doubly fed induction generator using indirect field-oriented control with fuzzy logic controllers for performance optimization. Energ. Sci. Eng. 6(5), 408–423 (2018)

    Article  Google Scholar 

  2. Bedoud, K., Rhif, A., Bahi, T., Merabet, H.: Study of a double fed induction generator using matrix converter: case of wind energy conversion system. Int. J. Hydrogen Energy 43(25), 11432–11441 (2017)

    Google Scholar 

  3. Mahmoud, M.S., Alyazidi, N.M., Abouheaf, M.I.: Adaptive intelligent techniques for microgrid control systems: a survey. Int. J. Electr. Power Energy Syst. 90, 292–305 (2017)

    Google Scholar 

  4. Moreira, A.B., Barros, T.A.S., Teixeira, V.S., Ruppert, E.: Power control for wind power generation and current harmonic filtering with doubly fed induction generator. Renew. Energy 107, 181–193 (2017)

    Article  Google Scholar 

  5. Wickramasinghe, A., Perera, S., Agalgaonkar, A., Meegahapola, L.G.: Synchronous mode operation of DFIG based wind turbines for improvement of power system inertia. Renew. Energy 95, 152–161 (2016)

    Article  Google Scholar 

  6. Raju, S.K., Pillai, G.N.: Design and real time implementation of type-2 fuzzy vector control for DFIG based wind generators. Renew. Energy 88, 40–50 (2016)

    Article  Google Scholar 

  7. Rahimi, M.: Improvement of energy conversion efficiency and damping of wind turbine response in grid connected DFIG based wind turbines. Int. J. Electr. Power Energy Syst. 95, 11–25 (2018)

    Article  Google Scholar 

  8. Beddar, A., Bouzekri, H., Babes, B., Afghoul, H.: Experimental enhancement of fuzzy fractional order PI+ I controller of grid connected variable speed wind energy conversion system. Energy Convers. Manage. 123, 569–580 (2016)

    Article  Google Scholar 

  9. Aly, H.H.: Dynamic modeling and control of the tidal current turbine using DFIG and DDPMSG for power system stability analysis. Int. J. Electr. Power Energy Syst. 83, 525–540 (2016)

    Article  Google Scholar 

  10. Ganjefar, S., Mohammadi, A.: Variable speed wind turbines with maximum power extraction using singular perturbation theory. Energy 106, 510–519 (2016)

    Article  Google Scholar 

  11. Allouhi, A., Zamzoum, O., Islam, M.R., et al.: Evaluation of wind energy potential in Morocco’s coastal regions. Renew. Sustain. Energy Rev. 72, 311–324 (2017)

    Article  Google Scholar 

  12. Ghoudelbourk, S., Dib, D., Omeiri, A.: New techniques to improve the power control in the double-fed induction generator wind turbine, wind engineering, 40(1) 2016

    Google Scholar 

  13. Hossain, M.M., Ali, M.H.: Future research directions for the wind turbine generator system. Renew. Sustain. Energy Rev. 49, 481–489 (2015)

    Article  Google Scholar 

  14. Ghennam, T., Aliouane, K., Akel, F., Francois, B., Berkouk, E.M.: Advanced control system of DFIG based wind generators for reactive power production and integration in a wind farm dispatching. Energy Convers. Manage. 105, 240–250 (2015)

    Article  Google Scholar 

  15. Ananth, D.V.N., Kumar, G.N.: Fault ride-through enhancement using an enhanced field oriented control technique for converters of grid connected DFIG and STATCOM for different types of faults. ISA Trans. 62, 2–18 (2016)

    Article  Google Scholar 

  16. Mehdipour, C., Hajizadeh, A., Mehdipour, I.: Dynamic modeling and control of DFIG-based wind turbines under balanced network conditions. Int. J. Electr. Power Energy Syst. 83, 560–569 (2016)

    Article  Google Scholar 

  17. Mahto, T., Mukherjee, V.: A novel scaling factor based fuzzy logic controller for frequency control of an isolated hybrid power system. Energy 130, 339–350 (2017)

    Article  Google Scholar 

  18. Civelek, Z., Lüy, M., Çam, E., Mamur, H.: A new fuzzy logic proportional controller approach applied to individual pitch angle for wind turbine load mitigation. Renew. Energy 111, 708–717 (2017)

    Article  Google Scholar 

  19. Sudheer, H., Kodad, S.F., Sarvesh, B.: Improvements in direct torque control of induction motor for wide range of speed operation using fuzzy logic. J. Electr. Syst. Inform. Technol. 2017, In press

    Google Scholar 

  20. Gupta, N., Garg, R.: Tuning of asymmetrical fuzzy logic control algorithm for SPV system connected to grid. Int. J. Hydrogen Energy 42(26), 16375–16385 (2017)

    Article  Google Scholar 

  21. Yaakoubi, A., Asselman, A., Djebli, A., Aroudam, E.H.: A MPPT strategy based on fuzzy control for a wind energy conversion system. Proc. Technol. 22, 697–704 (2016)

    Article  Google Scholar 

  22. Tir, Z., Malik, O.P., Eltamaly, A.M.: Fuzzy logic based speed control of indirect field oriented controlled double star induction motors connected in parallel to a single six-phase inverter supply. Electr. Power Syst. Res. 134, 126–133 (2016)

    Article  Google Scholar 

  23. Salleh, Z., Sulaiman, M., Omar, R., Patakor, F.A.: Optimization of fuzzy logic based for vector control induction motor drives. In: 2016 8th Computer Science and Electronic Engineering (CEEC), pp. 83–88. IEEE (2006)

    Google Scholar 

  24. Ismail, M.M., Bendary, A.F.: Protection of DFIG wind turbine using fuzzy logic control. Alexandria Eng. J. 55(2), 941–949 (2016)

    Article  Google Scholar 

  25. Kumar, D., Chatterjee, K.: A review of conventional and advanced MPPT algorithms for wind energy systems. Renew. Sustain. Energy Rev. 55, 957–970 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ola Hussein Abd Ali Alzubaidi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Alzubaidi, O.H.A.A., Dawood, A.Q. (2022). Design and Simulation of Wind Farm Model Using Doubly-Fed Induction Generator Techniques. In: Al-Emran, M., Al-Sharafi, M.A., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of International Conference on Emerging Technologies and Intelligent Systems. ICETIS 2021. Lecture Notes in Networks and Systems, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-030-82616-1_7

Download citation

Publish with us

Policies and ethics