Effect of short-circuit in stator windings on the operation of doubly-fed induction generators operating in a wind power system

Authors

DOI:

https://doi.org/10.20998/2074-272X.2025.6.01

Keywords:

doubly-fed induction generator, short-circuit faults, wind turbine

Abstract

Introduction. Wind energy has been a clean and renewable source of electricity in recent decades, making a significant addition to overall generation, and wind power is one of the most popular sources of renewable energy. Problem. Accurate modeling of wind turbine generators is critical to improve the efficiency of power systems. Doubly-fed induction generator (DFIG) stands out for its economic advantages associated with the use of frequency converters and induction machines. Increasing operating and maintenance costs of wind turbines highlight the need for early fault identification to optimize costs and ensure reliable operation. The goal of this work is to develop a simplified yet effective model for analyzing stator winding short-circuits in DFIGs operating in wind turbines. The model uses line-to-line voltages as inputs and explicitly considers the neutral-point voltage variation under fault conditions. Methodology. The problem was solved using spectral analysis, the model was implemented for 4 kW DFIG wind turbine in MATLAB to validate its effectiveness. Results. The simulation results confirm the effectiveness of the proposed approach for timely fault detection and analysis. It demonstrates computational simplicity by accurately capturing the main fault characteristics, which is preferable to traditional methods such as symmetrical components and FEM. The scientific novelty of the work lies in a methodology for modeling DFIG during stator short-circuits, integrating the effect of elevated neutral voltage during faults using line-to-line voltages in the base model. It also takes into account phenomena such as magnetic saturation, gap effects, and skin effects. The simplicity of the model makes it suitable for condition monitoring and validation of fault-tolerant control algorithms, which distinguishes it from more complex methods such as symmetrical components or the FEM. Practical value. The proposed model offers a pragmatic and reliable approach for monitoring and analyzing defects in DFIG wind turbines. Its versatility and efficiency improve the optimization of maintenance costs and reliability of renewable energy systems. References 27, tables 2, figures 8.

Author Biographies

Y. Diboune, University of Blida 1

PhD Student, Automatic and Electrotechnics Department, Electrical Systems and Remote-Control Laboratory (LabSET), Faculty of Technology

R. Hachelaf, University of Blida 1

Assistant Professor, Automatic and Electrotechnics Department, Electrical Systems and Remote-Control Laboratory (LabSET), Faculty of Technology

D. Kouchih, University of Blida 1

PhD, Associate Professor, Automatic and Electrotechnics Department, Electrical Systems and Remote-Control Laboratory (LabSET), Faculty of Technology

References

Ma Y., Zhu D., Zou X., Kang Y., Guerrero J.M. Transient Characteristics and Quantitative Analysis of Electromotive Force for DFIG-based Wind Turbines during Grid Faults. Chinese Journal of Electrical Engineering, 2022, vol. 8, no. 2, pp. 3-12. doi: https://doi.org/10.23919/CJEE.2022.000010.

Rolan A., Bogarra S., Bakkar M. Integration of Distributed Energy Resources to Unbalanced Grids Under Voltage Sags With Grid Code Compliance. IEEE Transactions on Smart Grid, 2022, vol. 13, no. 1, pp. 355-366. doi: https://doi.org/10.1109/TSG.2021.3107984.

Husari F., Seshadrinath J. Incipient Interturn Fault Detection and Severity Evaluation in Electric Drive System Using Hybrid HCNN-SVM Based Model. IEEE Transactions on Industrial Informatics, 2022, vol. 18, no. 3, pp. 1823-1832. doi: https://doi.org/10.1109/TII.2021.3067321.

Chen Y., Rehman A.U., Zhao Y., Wang L., Wang S., Zhang M., Zhao Y., Cheng Y., Tanaka T. Numerical Modeling, Electrical Characteristics Analysis and Experimental Validation of Severe Inter-Turn Short Circuit Fault Conditions on Stator Winding in DFIG of Wind Turbines. IEEE Access, 2021, vol. 9, pp. 13149-13158. doi: https://doi.org/10.1109/ACCESS.2021.3050876.

Sotoudeh A., Rezaei M.M. An adaptive control strategy for grid-forming of SCIG-based wind energy conversion systems. Energy Reports, 2023, vol. 10, pp. 114-122. doi: https://doi.org/10.1016/j.egyr.2023.06.030.

Huang S., Wang J., Huang C., Zhou L., Xiong L., Liu J., Li P. A fixed-time fractional-order sliding mode control strategy for power quality enhancement of PMSG wind turbine. International Journal of Electrical Power & Energy Systems, 2022, vol. 134, art. no. 107354. doi: https://doi.org/10.1016/j.ijepes.2021.107354.

Zhao S., Chen Y., Rehman A.U., Liang F., Wang S., Zhao Y., Deng W., Ma Y., Cheng Y. Detection of Interturn Short-Circuit Faults in DFIGs Based on External Leakage Flux Sensing and the VMD-RCMDE Analytical Method. IEEE Transactions on Instrumentation and Measurement, 2022, vol. 71, pp. 1-12. doi: https://doi.org/10.1109/TIM.2022.3186061.

Sarma N., Tuohy P.M., Djurovic S. Stator Electrical Fault Detection in DFIGs Using Wide-Band Analysis of the Embedded Signals From the Controllers. IEEE Transactions on Energy Conversion, 2021, vol. 36, no. 2, pp. 800-811. doi: https://doi.org/10.1109/TEC.2020.3017443.

Gurusamy V., Capolino G.-A., Akin B., Henao H., Romary R., Pusca R. Recent Trends in Magnetic Sensors and Flux-Based Condition Monitoring of Electromagnetic Devices. IEEE Transactions on Industry Applications, 2022, vol. 58, no. 4, pp. 4668-4684. doi: https://doi.org/10.1109/TIA.2022.3174804.

Botha S., Gule N. Vibrational Analysis of an Unbalanced Brushless Doubly Fed Induction Machine. 2023 IEEE International Electric Machines & Drives Conference (IEMDC), 2023, pp. 1-6. doi: https://doi.org/10.1109/IEMDC55163.2023.10239081.

Sahin I., Keysan O. Model Predictive Controller Utilized as an Observer for Inter-Turn Short Circuit Detection in Induction Motors. IEEE Transactions on Energy Conversion, 2021, vol. 36, no. 2, pp. 1449-1458. doi: https://doi.org/10.1109/TEC.2020.3048071.

Abid M., Laribi S., Larbi M., Allaoui T. Diagnosis and localization of fault for a neutral point clamped inverter in wind energy conversion system using artificial neural network technique. Electrical Engineering & Electromechanics, 2022, no. 5, pp. 55-59. doi: https://doi.org/10.20998/2074-272X.2022.5.09.

Alipoor G., Mirbagheri S.J., Moosavi S.M.M., Cruz S.M.A. Incipient detection of stator inter‐turn short‐circuit faults in a doubly‐fed induction generator using deep learning. IET Electric Power Applications, 2023, vol. 17, no. 2, pp. 256-267. doi: https://doi.org/10.1049/elp2.12262.

Toshani H., Abdi S., Hosseini N.K., Abdi E. Fault Diagnosis of Squirrel Cage Induction Generator for Wind Turbine Applications Using a Hybrid Deep Neural Network and Decision Tree Approach. 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2021, pp. 1-6. doi: https://doi.org/10.1109/ICECET52533.2021.9698556.

St-Onge X.F., Cameron J., Saleh S., Scheme E.J. A Symmetrical Component Feature Extraction Method for Fault Detection in Induction Machines. IEEE Transactions on Industrial Electronics, 2019, vol. 66, no. 9, pp. 7281-7289. doi: https://doi.org/10.1109/TIE.2018.2875644.

Mellah H., Arslan S., Sahraoui H., Hemsas K.E., Kamel S. The Effect of Stator Inter-Turn Short-Circuit Fault on DFIG Performance Using FEM. Engineering, Technology & Applied Science Research, 2022, vol. 12, no. 3, pp. 8688-8693. doi: https://doi.org/10.48084/etasr.4923.

Ahmadpour A., Dejamkhooy A., Shayeghi H. Fault Diagnosis of HTS–SLIM Based on 3D Finite Element Method and Hilbert–Huang Transform. IEEE Access, 2022, vol. 10, pp. 35736-35749. doi: https://doi.org/10.1109/ACCESS.2022.3159693.

Grechko O.M. Influence of the poles shape of DC electromagnetic actuator on its thrust characteristic. Technical Electrodynamics, 2024, no. 1, pp. 38-45. doi: https://doi.org/10.15407/techned2024.01.038.

Diboune Y., Hachelaf R., Kouchih D. Theoretical and experimental analysis of unbalanced doubly fed induction generators. IAES International Journal of Robotics and Automation (IJRA), 2024, vol. 13, no. 4, pp. 476-484. doi: https://doi.org/10.11591/ijra.v13i4.pp476-484.

Alphan H. Modelling potential visibility of wind turbines: A geospatial approach for planning and impact mitigation. Renewable and Sustainable Energy Reviews, 2021, vol. 152, art. no. 111675. doi: https://doi.org/10.1016/j.rser.2021.111675.

Sajan C., Satish Kumar P., Virtic P. Enhancing grid stability and low voltage ride through capability using type 2 fuzzy controlled dynamic voltage restorer. Electrical Engineering & Electromechanics, 2024, no. 4, pp. 31-41. doi: https://doi.org/10.20998/2074-272X.2024.4.04.

Nid A., Sayah S., Zebar A. Power fluctuation suppression for grid connected permanent magnet synchronous generator type wind power generation system. Electrical Engineering & Electromechanics, 2024, no. 5, pp. 70-76. doi: https://doi.org/10.20998/2074-272X.2024.5.10.

Muthukaruppasamy S., Dharmaprakash R., Sendilkumar S., Parimalasundar E. Enhancing off-grid wind energy systems with controlled inverter integration for improved power quality. Electrical Engineering & Electromechanics, 2024, no. 5, pp. 41-47. doi: https://doi.org/10.20998/2074-272X.2024.5.06.

Kaddache M., Drid S., Khemis A., Rahem D., Chrifi-Alaoui L. Maximum power point tracking improvement using type-2 fuzzy controller for wind system based on the double fed induction generator. Electrical Engineering & Electromechanics, 2024, no. 2, pp. 61-66. doi: https://doi.org/10.20998/2074-272X.2024.2.09.

Mousavi Y., Bevan G., Kucukdemiral I.B., Fekih A. Sliding mode control of wind energy conversion systems: Trends and applications. Renewable and Sustainable Energy Reviews, 2022, vol. 167, art. no. 112734. doi: https://doi.org/10.1016/j.rser.2022.112734.

Kong X., Ma L., Liu X., Abdelbaky M.A., Wu Q. Wind Turbine Control Using Nonlinear Economic Model Predictive Control over All Operating Regions. Energies, 2020, vol. 13, no. 1, art. no. 184. doi: https://doi.org/10.3390/en13010184.

L’Hadj Said M., Ali Moussa M., Bessaad T. Control of an autonomous wind energy conversion system based on doubly fed induction generator supplying a non-linear load. Electrical Engineering & Electromechanics, 2025, no. 4, pp. 3-10. doi: https://doi.org/10.20998/2074-272X.2025.4.01.

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Published

2025-11-02

How to Cite

Diboune, Y., Hachelaf, R., & Kouchih, D. (2025). Effect of short-circuit in stator windings on the operation of doubly-fed induction generators operating in a wind power system. Electrical Engineering & Electromechanics, (6), 3–7. https://doi.org/10.20998/2074-272X.2025.6.01

Issue

No. 6 (2025)

Section

Electrical Machines and Apparatus

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Copyright (c) 2025 Y. Diboune, R. Hachelaf, D. Kouchih

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