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Parameter Robustness Enhanced Deadbeat Control for DFIG with ESO-Based Disturbance Estimation

Author

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  • Kai Ni

    (State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, China
    State Key Laboratory of Advanced Electromagnetic Engineering and Technology, The School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430070, China)

  • Haochen Shi

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, The School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430070, China)

  • Jin Zhang

    (State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, China)

  • Chong Zhang

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, The School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430070, China)

  • Hongzhe Wang

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, The School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430070, China)

  • Yizhou Sun

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, The School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430070, China)

Abstract

Doubly fed induction generators (DFIGs) are widely applied in wind energy conversion systems, where the harsh service environment and long-lasting operation can bring about motor parameter deviations, deteriorating the system performance. In this paper, an extended state observer (ESO)-based deadbeat control strategy that enhances the system parameter robustness is proposed. Firstly, the effects of motor parameter inaccuracy are analyzed to reflect the control errors and degradation of the system performance. Secondly, a lumped disturbance represented by an additional state extended from the system mathematical model is derived with the parameter inaccuracy taken into consideration. Finally, the parameter robustness enhanced deadbeat control method with the ESO-based disturbance estimation is developed to realize accurate prediction and control, even when the inductance of DFIG deviates under various operation conditions. To verify the effectiveness of the proposed method, simulations are carried out in MATLAB/Simulink for a 1.5 MW DFIG with a 30% stator and rotor inductance deviation. Compared to the conventional control method, smooth and fast dynamic performance is maintained, and the current ripple for the proposed control strategy can be reduced by approximately 40%, where the steady-state tracking performance and parameter robustness of the system are significantly enhanced.

Suggested Citation

  • Kai Ni & Haochen Shi & Jin Zhang & Chong Zhang & Hongzhe Wang & Yizhou Sun, 2023. "Parameter Robustness Enhanced Deadbeat Control for DFIG with ESO-Based Disturbance Estimation," Sustainability, MDPI, vol. 15(15), pages 1-18, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:12020-:d:1211026
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    References listed on IDEAS

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    1. Irfan Sami & Shafaat Ullah & Zahoor Ali & Nasim Ullah & Jong-Suk Ro, 2020. "A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System," Energies, MDPI, vol. 13(9), pages 1-20, May.
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