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), 2021. Published by Science Publishing Group |
Doubly-fed Induction Generator (DFIG), Co-simulation, Fault Diagnosis, Static Air-gap Eccentricity (SAGE)
| [1] | M. A. Ortega-Vazquez and D. S. Kirschen (2009). “Estimating the Spinning Reserve Requirements in Systems With Significant Wind Power Generation Penetration”. IEEE Transactions on Power Systems; 24 (1): 114-124. |
| [2] | M. Yin, Y. Xu, C. Shen, J. Liu, Z. Y. Dong and Y. Zou (2017). “Turbine Stability-Constrained Available Wind Power of Variable Speed Wind Turbines for Active Power Control”. IEEE Transactions on Power Systems; 32 (3): 2487-2488. |
| [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. |
| [5] | Niebsch J, Ramlau R, Nguyen T T (2010). “Mass and Aerodynamic Imbalance Estimates of Wind Turbines”. Energies; 3 (4): 696-710. |
| [6] | X. Rui, L. Li and X. Li (2008). “Fundamentals of a power splitting driving chain for large wind turbines”. 2008 7th World Congress on Intelligent Control and Automation; 9347-9350. |
| [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. |
| [8] | A. H. Soloot, H. K. Høidalen and B. Gustavsen (2015). “Influence of the winding design of wind turbine transformers for resonant overvoltage vulnerability”. IEEE Transactions on Dielectrics and Electrical Insulation; 22 (2): 1250-1257. |
| [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. |
| [10] | T. Qiu, X. Wang, Q. Yin and D. Wang (2021). “Research on Precise Voltage Regulation Control Strategy of High and Low Voltage Ride Through Test Device of Inverter”. 2021 6th Asia Conference on Power and Electrical Engineering (ACPEE); 944-948. |
| [11] | S. Rezaei (2017). “Behavior of protective relays during Sub Synchronous Resonance”. 2017 IEEE International Conference on Environment and Electrical Engineering and 2017 IEEE Industrial and Commercial Power Systems Europe (EEEIC/ I&CPS Europe); 1-5. |
| [12] | J. Shi, Y. Tang, Y. Xia, L. Ren and J. Li (2011). “SMES Based Excitation System for Doubly-Fed Induction Generator in Wind Power Application”. IEEE Transactions on Applied Superconductivity; 21 (3): 1105-1108. |
| [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. |
| [19] | Di Chong, Bao Xiaohua, Wang Hanfeng, Fang Yong, Zhu Qinglong (2014). “Research on radial electromagnetic excitation force of induction motor with mixed eccentricity,” Transactions of China Electrotechnical society, 29 (S1): 138- 144. |
| [20] | TANG Yunqiu (2011). “Electrical machinery. 4th Edition,” Machinery industry press. |
| [21] | He, Y. L., Ke, M. Q., Wang, F. L., et al (2015). “Effect of static eccentricity and stator inter-turn short circuit composite fault on rotor vibration characteristics of generator,” Trans. Can. Soc. for Mech. Eng. 39 (4): 767–781. |
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
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
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
Share This Article
Twitter
Linked In
Facebook
Copy
Download@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}
}
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 -
Information
Email: