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Nonlinear Stochastic Adaptive Control for DFIG-Based Wind Generation System

Author

Listed:
  • Jian Zhang

    (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Yong Wan

    (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Quan Ouyang

    (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

  • Meng Dong

    (College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China)

Abstract

The aim of this paper is to extract the maximum power from wind energy for the doubly fed induction generator based wind turbine system (DFIG-WT) under the continuous stochastic perturbations of wind speed. The DFIG-WT is modeled as the Itô stochastic differential equations. The stochastic backstepping control method and the gain suppressing inequality technique are employed to guarantee that the relative rotor speed to the optimal value is bounded in probability. Furthermore, we extend the bounded result to the asymptotic stability of the rotor speed control loop. In addition, the parametric uncertainties in DFIG-WT are also considered in our control synthesis. The simplicity, robustness and efficiency of the designed controller are verified under the special wind speed with white noise by the numerical simulation of a 660 KW DFIG-WT.

Suggested Citation

  • Jian Zhang & Yong Wan & Quan Ouyang & Meng Dong, 2023. "Nonlinear Stochastic Adaptive Control for DFIG-Based Wind Generation System," Energies, MDPI, vol. 16(15), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:15:p:5654-:d:1204061
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    References listed on IDEAS

    as
    1. Xiaoliang Yang & Guorong Liu & Anping Li & Le Van Dai, 2017. "A Predictive Power Control Strategy for DFIGs Based on a Wind Energy Converter System," Energies, MDPI, vol. 10(8), pages 1-24, July.
    2. Linyun Xiong & Penghan Li & Hao Li & Jie Wang, 2017. "Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law," Energies, MDPI, vol. 10(11), pages 1-19, November.
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