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Development of Novel Robust Regulator for Maximum Wind Energy Extraction Based upon Perturbation and Observation

Author

Listed:
  • Bo Li

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

  • Wenhu Tang

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

  • Kaishun Xiahou

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

  • Qinghua Wu

    (School of Electric Power Engineering, South China University of Technology, Guangzhou 510640, China)

Abstract

This paper develops a robust regulator design approach to maximum power point tracking (MPPT) of a variable-speed wind energy conversion system (WECS) under the concept of perturbation and observation. The proposed perturb and observe regulators (PORs) rooted on the sliding mode method employs the optimal power curve (OPC) to realize MPPT operations by continuously adjusting rotor speeds and the duty cycles, which can ensure control performance against system parameter variations. The proposed PORs can detect sudden wind speed changes indirectly through the mechanical power coefficient, which is used to acquire the rotor speed reference by comparing it with the optimal power constant. For the speed and duty cycle regulation, two novel controllers based on the proposed POR, i.e., an MPPT controller and a speed controller, are devised in this research. Moreover, by applying the small-signal analysis on a nonlinear wind turbine system, the convergence of the proposed speed controller is proven for the first time based on the Lyapunov theory, and meanwhile, a single-pole transfer function, to describe the effect of duty cycle variations on rotor speeds, is designed to ensure its stability. The proposed strategy is verified by simulation cases operated in MATLAB/Simulink and experimental results performed from a 0.5-kW wind turbine generator simulator.

Suggested Citation

  • Bo Li & Wenhu Tang & Kaishun Xiahou & Qinghua Wu, 2017. "Development of Novel Robust Regulator for Maximum Wind Energy Extraction Based upon Perturbation and Observation," Energies, MDPI, vol. 10(4), pages 1-21, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:569-:d:96460
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    References listed on IDEAS

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    1. Shin Young Heo & Mun Kyeom Kim & Jin Woo Choi, 2015. "Hybrid Intelligent Control Method to Improve the Frequency Support Capability of Wind Energy Conversion Systems," Energies, MDPI, vol. 8(10), pages 1-22, October.
    2. Hae Gwang Jeong & Ro Hak Seung & Kyo Beum Lee, 2012. "An Improved Maximum Power Point Tracking Method for Wind Power Systems," Energies, MDPI, vol. 5(5), pages 1-16, May.
    3. Ying Zhu & Ming Cheng & Wei Hua & Wei Wang, 2012. "A Novel Maximum Power Point Tracking Control for Permanent Magnet Direct Drive Wind Energy Conversion Systems," Energies, MDPI, vol. 5(5), pages 1-15, May.
    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.
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    Cited by:

    1. Camilo I. Martínez-Márquez & Jackson D. Twizere-Bakunda & David Lundback-Mompó & Salvador Orts-Grau & Francisco J. Gimeno-Sales & Salvador Seguí-Chilet, 2019. "Small Wind Turbine Emulator Based on Lambda-Cp Curves Obtained under Real Operating Conditions," Energies, MDPI, vol. 12(13), pages 1-17, June.

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