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Gain Scheduled Torque Compensation of PMSG-Based Wind Turbine for Frequency Regulation in an Isolated Grid

Author

Listed:
  • Haixin Wang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Junyou Yang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Zhe Chen

    (Department of Energy Technology, Aalborg University, 9100 Aalborg, Denmark)

  • Weichun Ge

    (Liaoning Province Electric Power Company, Shenyang 110006, China)

  • Shiyan Hu

    (Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI 49931, USA)

  • Yiming Ma

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Yunlu Li

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Guanfeng Zhang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Lijian Yang

    (School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China)

Abstract

Frequency stability in an isolated grid can be easily impacted by sudden load or wind speed changes. Many frequency regulation techniques are utilized to solve this problem. However, there are only few studies designing torque compensation controllers based on power performances in different Speed Parts. It is a major challenge for a wind turbine generator (WTG) to achieve the satisfactory compensation performance in different Speed Parts. To tackle this challenge, this paper proposes a gain scheduled torque compensation strategy for permanent magnet synchronous generator (PMSG) based wind turbines. Our main idea is to improve the anti-disturbance ability for frequency regulation by compensating torque based on WTG speed Parts. To achieve higher power reserve in each Speed Part, an enhanced deloading method of WTG is proposed. We develop a new small-signal dynamic model through analyzing the steady-state performances of deloaded WTG in the whole range of wind speed. Subsequently, H ∞ theory is leveraged in designing the gain scheduled torque compensation controller to effectively suppress frequency fluctuation. Moreover, since torque compensation brings about untimely power adjustment in over-rated wind speed condition, the conventional speed reference of pitch control system is improved. Our simulation and experimental results demonstrate that the proposed strategy can significantly improve frequency stability and smoothen power fluctuation resulting from wind speed variations. The minimum of frequency deviation with the proposed strategy is improved by up to 0.16 Hz at over-rated wind speed. Our technique can also improve anti-disturbance ability in frequency domain and achieve power balance.

Suggested Citation

  • Haixin Wang & Junyou Yang & Zhe Chen & Weichun Ge & Shiyan Hu & Yiming Ma & Yunlu Li & Guanfeng Zhang & Lijian Yang, 2018. "Gain Scheduled Torque Compensation of PMSG-Based Wind Turbine for Frequency Regulation in an Isolated Grid," Energies, MDPI, vol. 11(7), pages 1-19, June.
  • Handle: RePEc:gam:jeners:v:11:y:2018:i:7:p:1623-:d:153709
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    References listed on IDEAS

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    1. Andrés Peña Asensio & Santiago Arnaltes Gómez & Jose Luis Rodriguez-Amenedo & Manuel García Plaza & Joaquín Eloy-García Carrasco & Jaime Manuel Alonso-Martínez de las Morenas, 2018. "A Voltage and Frequency Control Strategy for Stand-Alone Full Converter Wind Energy Conversion Systems," Energies, MDPI, vol. 11(3), pages 1-19, February.
    2. Pradhan, Chittaranjan & Bhende, Chandrashekhar Narayan & Samanta, Anik Kumar, 2018. "Adaptive virtual inertia-based frequency regulation in wind power systems," Renewable Energy, Elsevier, vol. 115(C), pages 558-574.
    3. Attya, A.B. & Dominguez-Garcia, J.L. & Anaya-Lara, O., 2018. "A review on frequency support provision by wind power plants: Current and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2071-2087.
    4. Yi Tang & Jianfeng Dai & Jia Ning & Jie Dang & Yan Li & Xinshou Tian, 2017. "An Extended System Frequency Response Model Considering Wind Power Participation in Frequency Regulation," Energies, MDPI, vol. 10(11), pages 1-18, November.
    5. Maha Zoghlami & Ameni Kadri & Faouzi Bacha, 2018. "Analysis and Application of the Sliding Mode Control Approach in the Variable-Wind Speed Conversion System for the Utility of Grid Connection," Energies, MDPI, vol. 11(4), pages 1-17, March.
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    Cited by:

    1. Shijia Zhou & Fei Rong & Zhangtao Yin & Shoudao Huang & Yuebin Zhou, 2018. "HVDC Transmission Technology of Wind Power System with Multi-Phase PMSG," Energies, MDPI, vol. 11(12), pages 1-16, November.
    2. Yuan Li & Zengjin Xu & Zuoxia Xing & Bowen Zhou & Haoqian Cui & Bowen Liu & Bo Hu, 2020. "A Modified Reynolds-Averaged Navier–Stokes-Based Wind Turbine Wake Model Considering Correction Modules," Energies, MDPI, vol. 13(17), pages 1-19, August.
    3. Ana Fernández-Guillamón & Antonio Vigueras-Rodríguez & Emilio Gómez-Lázaro & Ángel Molina-García, 2018. "Fast Power Reserve Emulation Strategy for VSWT Supporting Frequency Control in Multi-Area Power Systems," Energies, MDPI, vol. 11(10), pages 1-20, October.

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