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An Improved Adaptive-Torque-Gain MPPT Control for Direct-Driven PMSG Wind Turbines Considering Wind Farm Turbulences

Author

Listed:
  • Xiaolian Zhang

    (School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

  • Can Huang

    (Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA)

  • Sipeng Hao

    (School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

  • Fan Chen

    (School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

  • Jingjing Zhai

    (School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China)

Abstract

Maximum power point tracking (MPPT) plays an important role in increasing the efficiency of a wind energy conversion system (WECS). In this paper, three conventional MPPT methods are reviewed: power signal feedback (PSF) control, decreased torque gain (DTG) control, and adaptive torque gain (ATG) control, and their potential challenges are investigated. It is found out that the conventional MPPT method ignores the effect of wind turbine inertia and wind speed fluctuations, which lowers WECS efficiency. Accordingly, an improved adaptive torque gain (IATG) method is proposed, which customizes adaptive torque gains and enhances MPPT performances. Specifically, the IATG control considers wind farm turbulences and works out the relationship between the optimal torque gains and the wind speed characteristics, which has not been reported in the literature. The IATG control is promising, especially under the ongoing trend of building wind farms with large-scale wind turbines and at low and medium wind speed sites.

Suggested Citation

  • Xiaolian Zhang & Can Huang & Sipeng Hao & Fan Chen & Jingjing Zhai, 2016. "An Improved Adaptive-Torque-Gain MPPT Control for Direct-Driven PMSG Wind Turbines Considering Wind Farm Turbulences," Energies, MDPI, vol. 9(11), pages 1-16, November.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:11:p:977-:d:83438
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    References listed on IDEAS

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    Cited by:

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    2. Ying Zhu & Ming Cheng & Haixiang Zang, 2017. "Sensorless Control for the EVT-Based New Dual Power Flow Wind Energy Conversion System," Energies, MDPI, vol. 10(7), pages 1-16, June.
    3. Longfu Luo & Xiaofeng Zhang & Dongran Song & Weiyi Tang & Jian Yang & Li Li & Xiaoyu Tian & Wu Wen, 2018. "Optimal Design of Rated Wind Speed and Rotor Radius to Minimizing the Cost of Energy for Offshore Wind Turbines," Energies, MDPI, vol. 11(10), pages 1-17, October.
    4. Dejian Yang & Moses Kang & Eduard Muljadi & Wenzhong Gao & Junhee Hong & Jaeseok Choi & Yong Cheol Kang, 2017. "Short-Term Frequency Response of a DFIG-Based Wind Turbine Generator for Rapid Frequency Stabilization," Energies, MDPI, vol. 10(11), pages 1-14, November.
    5. SungHoon Lim & Seung-Mook Baek & Jung-Wook Park, 2022. "Selection of Inertial and Power Curtailment Control Methods for Wind Power Plants to Enhance Frequency Stability," Energies, MDPI, vol. 15(7), pages 1-14, April.
    6. Dongran Song & Jian Yang & Mei Su & Anfeng Liu & Yao Liu & Young Hoon Joo, 2017. "A Comparison Study between Two MPPT Control Methods for a Large Variable-Speed Wind Turbine under Different Wind Speed Characteristics," Energies, MDPI, vol. 10(5), pages 1-18, May.
    7. Xiaolian Zhang & Baocong Lin & Ke Xu & Yangfei Zhang & Sipeng Hao & Qi Hu, 2023. "An Improved Over-Speed Deloading Control of Wind Power Systems for Primary Frequency Regulation Considering Turbulence Characteristics," Energies, MDPI, vol. 16(6), pages 1-18, March.

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