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An Electro-Thermal Analysis of a Variable-Speed Doubly-Fed Induction Generator in a Wind Turbine

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  • Yingning Qiu

    (School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Wenxiu Zhang

    (School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
    These authors contributed equally to this work.)

  • Mengnan Cao

    (School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
    These authors contributed equally to this work.)

  • Yanhui Feng

    (School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
    These authors contributed equally to this work.)

  • David Infield

    (Department of Electronic and Electrical Engineering, Strathclyde University, Glasgow G1 1XQ, UK)

Abstract

This paper focuses on the electro-thermal analysis of a doubly-fed induction generator (DFIG) in a wind turbine (WT) with gear transmission configuration. The study of the thermal mechanism plays an important role in the development of cost-effective fault diagnostic techniques, design for reliability and premature failure prevention. Starting from an analysis of the DFIG system control and its power losses mechanism, a model that synthesizes the thermal mechanism of the DFIG and a WT system principle is developed to study the thermodynamics of generator stator winding. The transient-state and steady-state temperature characteristics of stator winding under constant and step-cycle patterns of wind speed are studied to show an intrinsic thermal process within a variable-speed WT generator. Thermal behaviors of two failure modes, i.e. , generator ventilation system failure and generator stator winding under electric voltage unbalance, are examined in details and validated by both simulation and data analysis. The effective approach presented in this paper for generator fault diagnosis using the acquired SCADA data shows the importance of simulation models in providing guidance for post-data analysis and interpretation. WT generator winding lifetime is finally estimated based on a thermal ageing model to investigate the impacts of wind speed and failure mode.

Suggested Citation

  • Yingning Qiu & Wenxiu Zhang & Mengnan Cao & Yanhui Feng & David Infield, 2015. "An Electro-Thermal Analysis of a Variable-Speed Doubly-Fed Induction Generator in a Wind Turbine," Energies, MDPI, vol. 8(5), pages 1-17, April.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:5:p:3386-3402:d:48706
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    References listed on IDEAS

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    1. Perveen, Rehana & Kishor, Nand & Mohanty, Soumya R., 2014. "Off-shore wind farm development: Present status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 780-792.
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    Cited by:

    1. Dewei Tang & Hong Xiao & Fanrui Kong & Zongquan Deng & Shengyuan Jiang & Qiquan Quan, 2017. "Thermal Analysis of the Driving Component Based on the Thermal Network Method in a Lunar Drilling System and Experimental Verification," Energies, MDPI, vol. 10(3), pages 1-17, March.
    2. Bishal Silwal & Peter Sergeant, 2018. "Thermally Induced Mechanical Stress in the Stator Windings of Electrical Machines," Energies, MDPI, vol. 11(8), pages 1-18, August.
    3. Mengnan Cao & Yingning Qiu & Yanhui Feng & Hao Wang & Dan Li, 2016. "Study of Wind Turbine Fault Diagnosis Based on Unscented Kalman Filter and SCADA Data," Energies, MDPI, vol. 9(10), pages 1-18, October.
    4. Dinh-Chung Phan & Shigeru Yamamoto, 2015. "Maximum Energy Output of a DFIG Wind Turbine Using an Improved MPPT-Curve Method," Energies, MDPI, vol. 8(10), pages 1-19, October.
    5. Yeongsu Bak & June-Seok Lee & Kyo-Beum Lee, 2016. "Balanced Current Control Strategy for Current Source Rectifier Stage of Indirect Matrix Converter under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 10(1), pages 1-18, December.
    6. Md Liton Hossain & Ahmed Abu-Siada & S. M. Muyeen, 2018. "Methods for Advanced Wind Turbine Condition Monitoring and Early Diagnosis: A Literature Review," Energies, MDPI, vol. 11(5), pages 1-14, May.
    7. Yatai Ji & Paolo Giangrande & Vincenzo Madonna & Weiduo Zhao & Michael Galea, 2021. "Reliability-Oriented Design of Inverter-Fed Low-Voltage Electrical Machines: Potential Solutions," Energies, MDPI, vol. 14(14), pages 1-25, July.

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