MPPT METHOD FOR LARGE WIND TURBINES BASED ON ADAPTIVE MODEL PREDICTIVE CONTROL

Tian De; Zhou Chenkai; Tang Shize; Zhou Qiang; Huang Mingyue; Deng Ying

doi:10.19912/j.0254-0096.tynxb.2022-0958

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (6) : 501-508. DOI: 10.19912/j.0254-0096.tynxb.2022-0958

MPPT METHOD FOR LARGE WIND TURBINES BASED ON ADAPTIVE MODEL PREDICTIVE CONTROL

Tian De, Zhou Chenkai, Tang Shize, Zhou Qiang, Huang Mingyue, Deng Ying

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Abstract

The optimization method of the maximum power point tracking strategy for wind turbines is proposed by combining the tip speed ratio method and the adaptive model predictive control. According to the dynamic equation, the state-space model of wind turbine which is suitable for controller design is established. The effective wind speed is estimated based on the Kalman filter to obtain the optimal rotational speed reference value which is used to develop the adaptive criterion of the prediction model. The wind speed adaptation criteria is formulated for the prediction model to solve the mismatch problem in traditional model predictive control. It is shown in the simulation result that the proposed maximum power point tracking strategy can enhance the capture efficiency of wind energy, mitigate the electromagnetic torque fluctuation, and improve the robustness of the system.

Key words

wind turbines / maximum power point trackers / model predictive control / Kalman filters / torque control

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Tian De, Zhou Chenkai, Tang Shize, Zhou Qiang, Huang Mingyue, Deng Ying. MPPT METHOD FOR LARGE WIND TURBINES BASED ON ADAPTIVE MODEL PREDICTIVE CONTROL[J]. Acta Energiae Solaris Sinica. 2023, 44(6): 501-508 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0958

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