Abstract
A nonlinear control without using anemometer is proposed to achieve the maximum power of the wind turbine (WT) based on two-mass model in this paper. To track the maximum power points, the optimal tip speed ratio control strategy requiring to know the optimal rotor speed of the WT (ORS) is employed. To achieve the ORS, a torque observer is designed to estimate the aerodynamic torque, then the ORS can be obtained by the corresponding calculations based on the estimated torque. Due to the high nonlinearities of the WT and time-varying wind speed, a nonlinear control based on feedback linearization control (FLC) is adopted to track the ORS. In the FLC, the WT is linearized firstly, then the rotor speed controller is designed via linear control technique. The effectiveness of the proposed control strategy is verified by simulation studies. The simulation results show that, compared with the traditional PI control based on torque estimation and FLC based on wind speed estimation, the proposed control strategy provides better dynamic performances and higher power conversion efficiency.
Highlights
With the increasingly serious energy crisis and environmental problems, renewable clean energy such as wind energy, solar energy and hydrogen energy have attracted more and more attention (Liu et al, 2020; Peng et al, 2020; Sun et al, 2020; Li et al, 2021)
In order to verify the effectiveness of the proposed control strategy, it will compare with the traditional PI control and feedback linearization control (FLC) based on wind speed estimation (FLC-WE)
To verify the performance of the proposed FLC based on torque estimation (FLC-TE), it compares with the traditional PI control and FLC-WE
Summary
With the increasingly serious energy crisis and environmental problems, renewable clean energy such as wind energy, solar energy and hydrogen energy have attracted more and more attention (Liu et al, 2020; Peng et al, 2020; Sun et al, 2020; Li et al, 2021). It is necessary to effectively improve the efficiency of wind energy conversion through the maximum power point tracking (MPPT) control strategy in this operation area (Yang et al, 2016). Due to the high nonlinearities of WT and time-varying wind speed, the traditional PI control designed based on a certain operating point cannot provide satisfactory dynamic performance, which reduces the wind energy conversion efficiency. In order to obtain the maximum wind energy capture of WT based on two-mass model and avoid using anemometer, the FLC based MPPT control strategy and aerodynamic torque observer will be proposed. In order to verify the effectiveness of the proposed control strategy, it will compare with the traditional PI control and FLC based on wind speed estimation (FLC-WE).
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