Skip to main content

Advertisement

SpringerLink
Log in

Improved Current Controlled Doubly Fed Induction Generator Model with Grid Integration Under Sub and Super Synchronous Conditions

  • Original Article
  • Published:
Journal of Electrical Engineering & Technology Aims and scope Submit manuscript

Abstract

This paper presents the development and experimental verification of the mathematical model of wind turbine and Doubly Fed Induction Generator (DFIG) using the current control and voltage estimation method between the DC link. The rotor of the induction generator (IG) is rotated with the wind turbine at a specific speed. The DFIG is directly coupled with a grid station and the synchronization between DFIG and the grid station is controlled by setting two converters: Machine Side Converter (MSC) implemented with the rotor side and Grid Side Converter (GSC) implemented with the grid. PI controllers have been utilized in the control loops and the parametric range is extracted to maximize the mechanical power transferred to the IG rotor. The model is tested under three conditions DFIG running at super synchronous speed, synchronous speed, and under synchronous speed using MATLAB Simulink. In the end, the same model is also tested through a series of experiments using lab modules. The results show that the proposed model is much simplified and accurate as compared to previous versions available in the literature.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22

Similar content being viewed by others

Abbreviations

\(A\) :

Turbine swept area

\(\beta\) :

Blade Pitch angle

\({\uppsi }_{\mathrm{r}}\) :

Rotor side flux

\({\uppsi }_{\mathrm{s}}\) :

Stator side Flux

\({C}_{P}\) :

Performance factor

\({C}_{p}\) :

Power coefficient

DFIG:

Doubly fed induction generator

DSL:

Dynamic simulation language

\({E}_{wind}\) :

Wind energy

GSC:

Grid Side converter

H :

Motor inertia

IG:

Induction generator

\({i}_{\mathrm{s}}\) :

Stator current

\({i}_{r}\) :

Rotor current

\({I}_{abc}\) :

Three phase line current

\({L}_{m}\) :

Mutual inductance

\({L}_{r}\) :

Rotor side inductance

\({L}_{s}\) :

Stator side inductance

\(\lambda\) :

Tip speed ratio

\({P}_{g}\) :

Grid active power

\(P\) :

Number of poles

\({P}_{m}\) :

Mechanical power

\({Q}_{g}\) :

Grid reactive power

\({R}_{r}\) :

Rotor resistance

\({R}_{s}\) :

Stator resistance

\({T}_{e}\) :

Induced torque

\({T}_{m}\) :

Mechanical torque

\({V}_{DC}\) :

DC voltage

\({V}_{abc}\) :

Three phase line voltage

\({V}_{r}\) :

Rotor side voltage

\({V}_{s}\) :

Stator side voltage

\({V}_{wind}\) :

Wind velocity

\({\theta }_{e}\) :

Synchronously rotating angle

\({\omega }_{r}\) :

Rotor angular velocity (rev/min)

\({\omega }_{s}\) :

Synchronous speed (rev/min

\(\mathrm{MSC}\) :

Machine side converter

\(\mathrm{NREL}\) :

National Renewable Energy Laboratory

\(\mathrm{t}\) :

Time

\(\mathrm{THD}\) :

Total harmonic distortion

References

  1. U. S. E. (2013) Supply, 20% wind energy by 2030. Increasing wind energy’s contribution TO U.S. electricity supply. Wind power: technology, economics and policies, pp 99–333. GO-102008–2567.

  2. Luiz Lacerda Ferreira Murari A, Alberto Torrico Altuna J, Vani Jacomini R, Mario Rocha Osorio C, Sebastian Solis Chaves J, Joaozinho Sgaurezi Filho A (2017) A Proposal of Project of PI controller gains used on the Control of Doubly-Fed Induction Generators. In: IEEE Latin America Transactions, vol. 15, no. 2, pp 173–180. https://doi.org/10.1109/TLA.2017.7854609

  3. Meshcheryakov VN, Muravyev AA, Boikov AI (2018) Induction generator based on doubly-fed machine. In: 2018 17th International Ural Conference on AC Electric Drives (ACED), no. 1, pp 1–5. https://doi.org/10.1109/ACED.2018.8341719

  4. Sousa GCD, Martins FN, Sousa GCD, Martins FN (2015) An autonomous fuzzy controlled induction generator system with voltage regulation velocity-based dynamic model and adaptive controller for differential steered mobile robot view project optimizing robot controller gains with Genetic Algorithm View project, 2004. https://doi.org/10.13140/RG.2.1.4837.2328

  5. Müller S, Deicke M, De Doncker RW (2002) Doubly fed induction generator systems for wind turbines. IEEE Ind Appl Mag 8(3):26–33. https://doi.org/10.1109/2943.999610

    Article  Google Scholar 

  6. Ma J, Zhao D, Yao L, Qian M, Yamashita K, Zhu L (2018) Analysis on application of a current-source based DFIG wind generator model. CSEE Journal of Power and Energy Systems 4(3):352–361. https://doi.org/10.17775/cseejpes.2018.00060

    Article  Google Scholar 

  7. Asgari SH, Jannati M, Idris NRN (2014) Modeling of three-phase induction motor with two stator phases open-circuit. In: 2014 IEEE Conference on Energy Conversion (CENCON), pp 231–236, https://doi.org/10.1109/CENCON.2014.6967507

  8. Shah S, Rashid A, Bhatti MKL (2012) Direct quadrate (d-q) modeling of 3-phase induction motor using matlab/simulink. Can J Electr Electron Eng 3(5):237–243

    Google Scholar 

  9. Zhang D, Wang Y, Hu J, Ma S, He Q, Guo Q (2016) Impacts of PLL on the DFIG-based WTG’s electromechanical response under transient conditions: analysis and modeling. CSEE J Power Energy Syst 2(2):30–39. https://doi.org/10.17775/cseejpes.2016.00019

    Article  Google Scholar 

  10. Zhang Y, Muljadi E, Kosterev D, Singh M (2015) Wind power plant model validation using synchrophasor measurements at the point of interconnection. IEEE Trans Sustain Energy 6(3):984–992. https://doi.org/10.1109/TSTE.2014.2343794

    Article  Google Scholar 

  11. Goksu O, Altin M, Fortmann J, Sorensen PE (2016) Field validation of IEC 61400–27-1 wind generation type 3 model with plant power factor controller. IEEE Trans Energy Convers 31(3):1170–1178. https://doi.org/10.1109/TEC.2016.2540006

    Article  Google Scholar 

  12. V. W. Group (2015) Value and limitations of the positive sequence generic models of 2.0. The value of the generic model structures

  13. Xu M, Gu T, Xu J, Wang K, Li G, Guo F (2018) Electromechanical modeling of the direct-driven wind turbine generator considering the stochastic component of wind speed. In: 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2), no. 1, pp 1–4. https://doi.org/10.1109/EI2.2018.8582114

  14. Dadhania A, Venkatesh B, Nassif AB, Sood VK Modeling of doubly fed induction generators for distribution system power flow analysis. Int J Electr Power Energy Syst 53(1):576–583. https://doi.org/10.1016/j.ijepes.2013.05.025

    Article  Google Scholar 

  15. Khajuria S, Kaur J (2012) Implementation of pitch control of wind turbine using simulink (Matlab), vol. 1, no. 4, pp 196–200

  16. Ong C-M (1998) Dynamic simulation of electric machinery, 1st edn. Prentice Hall, London, pp 141–155

    Google Scholar 

  17. Berhanu Tuka M, Leidhold R, Mamo M (2017) Modeling and control of a doubly fed induction generator using a back-to-back converters in grid tied wind power system. In: 2017 IEEE PES PowerAfrica, pp 75–80. https://doi.org/10.1109/PowerAfrica.2017.7991202

  18. Swami Naidu NK, Singh B (2015) Doubly fed induction generator for wind energy conversion systems with integrated active filter capabilities. In: IEEE transactions on industrial informatics, vol. 11, no. 4, pp 923–933. https://doi.org/10.1109/TII.2015.2446767

  19. Sharma S, Singh B (2011) Voltage and frequency control of asynchronous generator for stand-alone wind power generation. IET Power Electron 4(7):816. https://doi.org/10.1049/iet-pel.2011.0007

    Article  Google Scholar 

  20. Li S, Haskew TA (2007) Analysis of decoupled d-q vector control in DFIG back-to-back PWM converter. In: 2007 IEEE power engineering society general meeting, pp. 1–7. https://doi.org/10.1109/PES.2007.385461

  21. Hughes TA (2015) Measurement and control basics. In: Measurement and control basics, 5th ed., International Society Automation, p. 409

Download references

Acknowledgements

The authors would like to thank to colleagues for suggestions to improve the paper quality.

Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan

    Hamza Ahmad, Neha Masroor, Huda Mahmood & Muhammad Abubakar

  2. School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, South Korea

    Hamza Ahmad

  3. Department of Electrical Engineering, NFC Institute of Engineering and Technology, Multan, 59060, Punjab, Pakistan

    Hassan Khalid

  4. Department of Electrical Engineering, FAST National University of Computer and Emerging Sciences, Chiniot Faisalabad Campus, Lahore, 35400, Punjab, Pakistan

    Arslan Ahmed Amin

  5. Department of Energy Systems Engineering, UPCASE, National University of Science and Technology (NUST), Islamabad, Pakistan

    Neha Masroor

Authors
  1. Hamza Ahmad
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hassan Khalid
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Arslan Ahmed Amin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Neha Masroor
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Huda Mahmood
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Muhammad Abubakar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Arslan Ahmed Amin.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahmad, H., Khalid, H., Amin, A. et al. Improved Current Controlled Doubly Fed Induction Generator Model with Grid Integration Under Sub and Super Synchronous Conditions. J. Electr. Eng. Technol. 16, 141–153 (2021). https://doi.org/10.1007/s42835-020-00572-w

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s42835-020-00572-w

Keywords

Search

Navigation