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Application of New Co-simulation in System Simulation of Doubly-fed Induction Generator

Received: 24 November 2021    Accepted: 16 December 2021    Published: 29 December 2021
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Abstract

This paper proposes a doubly-fed induction generator (DFIG) model built on three simulation platforms: Maxwell, Simplorer and Simulink. It can solve the overall modeling problem of the DFIG system effectively. In this paper, the generator physical simulation model (rotating shaft, rotor, stator and winding) are first established in Maxwell. Then, the internal (stator/rotor winding) and external circuit of DFIG are connected in Simplorer. The external circuit includes converter (generator side and grid side), filter, transformer and grid. Moreover, both the generator-side converter and the grid-side converter are controlled by Simulink. Finally, the simulation calculation study on the 5.5kW DFIG are carried out to validate the theoretical analysis. It is shown that SAGE causes distortion of the air gap magnetic field, the magnetic flux density (MFD) is inversely related to air gap changes. In addition, with the increase of SAGE, the curve of electromagnetic torque (EMT) moves down and rotor unbalanced magnetic pull (UMP) fluctuations become more obvious. The model can simulate the DFIG system accurately and effectively. And the simulation results are consistent with the theoretical derivation, which proves the validity of the model. This provides an effective method for the whole simulation and fault analysis of DFIG system.

Published in International Journal of Electrical Components and Energy Conversion (Volume 7, Issue 2)

This article belongs to the Special Issue Electro-Mechanical Coupling Problems in Electric Machines

DOI 10.11648/j.ijecec.20210702.14
Page(s) 54-60
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Doubly-fed Induction Generator (DFIG), Co-simulation, Fault Diagnosis, Static Air-gap Eccentricity (SAGE)

References
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[3] Yuan J, Na C, Xu Y, et al (2015). “Wind turbine manufacturing in China: A review”. Renewable and Sustainable Energy Reviews; 51: 1235-1244.
[4] X. Xing, H. Meng, L. Xie, L. Yue and Z. Lin (2019). “Switching Performance Improvement Based on Model-Predictive Control for Wind Turbine Covering the Whole Wind Speed Range”. IEEE Transactions on Sustainable Energy; 10 (1): 290-300.
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[7] A. E. Leon, J. M. Mauricio and J. A. Solsona (2012). “Fault Ride-Through Enhancement of DFIG-Based Wind Generation Considering Unbalanced and Distorted Conditions”. IEEE Transactions on Energy Conversion; 27 (3): 775-783.
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[9] Sheng XL, Wan ST, Cheng LF, Li YG (2017). “Blade aerodynamic asymmetry fault analysis and diagnosis of wind turbines with doubly fed induction generator”. Journal of Mechanical Science And Technology; 31 (10): 5011-5020.
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[13] Y. -L. He et al. (2019). “Effect of 3D Unidirectional and Hybrid SAGE on Electromagnetic Torque Fluctuation Characteristics in Synchronous Generato”. IEEE Access; 7: 100813-100823.
[14] L. Yuegang, X. Peiyu, L. Nailu and F. Xiaoxu (2009). “Research of VSCF wind power generation training system based on matlab/labVIEW”. 2009 IEEE International Conference on Automation and Logistics; 1592-1597.
[15] Z. Sun, H. Wang and Y. Li (2012). “Modelling and simulation of doubly-fed induction wind power system based on Matlab/Simulink”. International Conference on Sustainable Power Generation and Supply (SUPERGEN 2012); 1-5.
[16] J. S. Solanke, A. V. Naik and B. T. Deshmukh (2016). “Coordination control of DFIG under distorted grid voltage conditions using Matlab-simulink”. 2016 International Conference on Computing Communication Control and automation (ICCUBEA); 1-6.
[17] T. Jiang and Y. Zhang (2021), “Robust Predictive Rotor Current Control of Doubly Fed Induction Generator under Unbalanced and Distorted Grid,” in IEEE Transactions on Energy Conversion, doi: 10.1109/TEC.2021.3104410.
[18] Y. He, Y. Zhang, M. Xu, X. Wang and J. Xiong (2019), “A New Hybrid Model for Electromechanical Characteristic Analysis Under SISC in Synchronous Generators,” in IEEE Transactions on Industrial Electronics, 67 (3): 2348-2359.
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Cite This Article
  • APA Style

    Wen Jie Zheng, De Rui Dai, Gui Ji Tang. (2021). Application of New Co-simulation in System Simulation of Doubly-fed Induction Generator. International Journal of Electrical Components and Energy Conversion, 7(2), 54-60. https://doi.org/10.11648/j.ijecec.20210702.14

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    ACS Style

    Wen Jie Zheng; De Rui Dai; Gui Ji Tang. Application of New Co-simulation in System Simulation of Doubly-fed Induction Generator. Int. J. Electr. Compon. Energy Convers. 2021, 7(2), 54-60. doi: 10.11648/j.ijecec.20210702.14

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    AMA Style

    Wen Jie Zheng, De Rui Dai, Gui Ji Tang. Application of New Co-simulation in System Simulation of Doubly-fed Induction Generator. Int J Electr Compon Energy Convers. 2021;7(2):54-60. doi: 10.11648/j.ijecec.20210702.14

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  • @article{10.11648/j.ijecec.20210702.14,
      author = {Wen Jie Zheng and De Rui Dai and Gui Ji Tang},
      title = {Application of New Co-simulation in System Simulation of Doubly-fed Induction Generator},
      journal = {International Journal of Electrical Components and Energy Conversion},
      volume = {7},
      number = {2},
      pages = {54-60},
      doi = {10.11648/j.ijecec.20210702.14},
      url = {https://doi.org/10.11648/j.ijecec.20210702.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijecec.20210702.14},
      abstract = {This paper proposes a doubly-fed induction generator (DFIG) model built on three simulation platforms: Maxwell, Simplorer and Simulink. It can solve the overall modeling problem of the DFIG system effectively. In this paper, the generator physical simulation model (rotating shaft, rotor, stator and winding) are first established in Maxwell. Then, the internal (stator/rotor winding) and external circuit of DFIG are connected in Simplorer. The external circuit includes converter (generator side and grid side), filter, transformer and grid. Moreover, both the generator-side converter and the grid-side converter are controlled by Simulink. Finally, the simulation calculation study on the 5.5kW DFIG are carried out to validate the theoretical analysis. It is shown that SAGE causes distortion of the air gap magnetic field, the magnetic flux density (MFD) is inversely related to air gap changes. In addition, with the increase of SAGE, the curve of electromagnetic torque (EMT) moves down and rotor unbalanced magnetic pull (UMP) fluctuations become more obvious. The model can simulate the DFIG system accurately and effectively. And the simulation results are consistent with the theoretical derivation, which proves the validity of the model. This provides an effective method for the whole simulation and fault analysis of DFIG system.},
     year = {2021}
    }
    

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  • TY  - JOUR
    T1  - Application of New Co-simulation in System Simulation of Doubly-fed Induction Generator
    AU  - Wen Jie Zheng
    AU  - De Rui Dai
    AU  - Gui Ji Tang
    Y1  - 2021/12/29
    PY  - 2021
    N1  - https://doi.org/10.11648/j.ijecec.20210702.14
    DO  - 10.11648/j.ijecec.20210702.14
    T2  - International Journal of Electrical Components and Energy Conversion
    JF  - International Journal of Electrical Components and Energy Conversion
    JO  - International Journal of Electrical Components and Energy Conversion
    SP  - 54
    EP  - 60
    PB  - Science Publishing Group
    SN  - 2469-8059
    UR  - https://doi.org/10.11648/j.ijecec.20210702.14
    AB  - This paper proposes a doubly-fed induction generator (DFIG) model built on three simulation platforms: Maxwell, Simplorer and Simulink. It can solve the overall modeling problem of the DFIG system effectively. In this paper, the generator physical simulation model (rotating shaft, rotor, stator and winding) are first established in Maxwell. Then, the internal (stator/rotor winding) and external circuit of DFIG are connected in Simplorer. The external circuit includes converter (generator side and grid side), filter, transformer and grid. Moreover, both the generator-side converter and the grid-side converter are controlled by Simulink. Finally, the simulation calculation study on the 5.5kW DFIG are carried out to validate the theoretical analysis. It is shown that SAGE causes distortion of the air gap magnetic field, the magnetic flux density (MFD) is inversely related to air gap changes. In addition, with the increase of SAGE, the curve of electromagnetic torque (EMT) moves down and rotor unbalanced magnetic pull (UMP) fluctuations become more obvious. The model can simulate the DFIG system accurately and effectively. And the simulation results are consistent with the theoretical derivation, which proves the validity of the model. This provides an effective method for the whole simulation and fault analysis of DFIG system.
    VL  - 7
    IS  - 2
    ER  - 

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Author Information
  • Department of Mechanical Engineering, North China Electric Power University, Baoding, China

  • Department of Mechanical Engineering, North China Electric Power University, Baoding, China

  • Department of Mechanical Engineering, North China Electric Power University, Baoding, China

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