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Research on the Fault Characteristic of Wind Turbine Generator System Considering the Spatiotemporal Distribution of the Actual Wind Speed

Author

Listed:
  • Xiaoling Sheng

    (School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China)

  • Shuting Wan

    (School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China)

  • Kanru Cheng

    (School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China)

  • Xuan Wang

    (School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China)

Abstract

A reliable fault monitoring system is one of the conditions that must be considered in the design of large wind farms today. The most important factor for the fault monitoring should be the accurate diagnosis criteria with sensitive fault characteristics. Most of the current fault diagnosis criteria are obtained based on the average wind speed at the center of the hub which is not in accord with the actual wind condition in nature. So, this paper utilizes an equivalent wind speed (EWS), which can describe the actual wind speed spatiotemporal distribution on the rotor disk area considering the effects of wind shear and tower shadow, to analyze the common mechanical and electrical faults again. Firstly, the EWS model applicable to the 3-blade wind turbines is introduced; then the new fault characteristics of the wind turbine rotor aerodynamic imbalance and the stator winding asymmetry are theoretically analyzed based on the EWS model; finally, the simulation platform is built in Matlab/Simulink for comparison and the simulation result is well consistent with the theory analysis. The aim of this research is to find more accurate fault characteristics and help promoting the healthy development of wind power industry.

Suggested Citation

  • Xiaoling Sheng & Shuting Wan & Kanru Cheng & Xuan Wang, 2020. "Research on the Fault Characteristic of Wind Turbine Generator System Considering the Spatiotemporal Distribution of the Actual Wind Speed," Energies, MDPI, vol. 13(2), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:356-:d:307481
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    References listed on IDEAS

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    1. Jenny Niebsch & Ronny Ramlau & Thien T. Nguyen, 2010. "Mass and Aerodynamic Imbalance Estimates of Wind Turbines," Energies, MDPI, vol. 3(4), pages 1-15, April.
    2. Shuting Wan & Kanru Cheng & Xiaoling Sheng & Xuan Wang, 2019. "Characteristic Analysis of DFIG Wind Turbine under Blade Mass Imbalance Fault in View of Wind Speed Spatiotemporal Distribution," Energies, MDPI, vol. 12(16), pages 1-14, August.
    3. Fenglin Miao & Hongsheng Shi & Xiaoqing Zhang, 2015. "Impact of the Converter Control Strategies on the Drive Train of Wind Turbine during Voltage Dips," Energies, MDPI, vol. 8(10), pages 1-18, October.
    4. Jin Tan & Weihao Hu & Xiaoru Wang & Zhe Chen, 2013. "Effect of Tower Shadow and Wind Shear in a Wind Farm on AC Tie-Line Power Oscillations of Interconnected Power Systems," Energies, MDPI, vol. 6(12), pages 1-21, December.
    5. Shuting Wan & Lifeng Cheng & Xiaoling Sheng, 2015. "Effects of Yaw Error on Wind Turbine Running Characteristics Based on the Equivalent Wind Speed Model," Energies, MDPI, vol. 8(7), pages 1-16, June.
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