基于自适应模型预测控制的大型风电机组MPPT方法

田德; 周臣凯; 唐世泽; 周强; 黄明月; 邓英

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

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (6) : 501-508. DOI: 10.19912/j.0254-0096.tynxb.2022-0958

基于自适应模型预测控制的大型风电机组MPPT方法

田德, 周臣凯, 唐世泽, 周强, 黄明月, 邓英

作者信息 +

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

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

Author information +

文章历史 +

摘要

综合叶尖速比法和自适应模型预测控制提出风电机组最大功率点跟踪策略优化方法。根据动力学方程建立适用于控制器设计的风电机组状态空间模型。基于卡尔曼滤波算法估计有效风速,进而求解出最优转速参考值,并作为预测模型自适应准则的基础。制定预测模型的风速自适应准则,解决传统模型预测控制中的模型错配问题。仿真结果表明改进后的最大功率点跟踪策略能增强系统的鲁棒性、提高风能捕获效率、降低电磁转矩波动。

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.

导出引用

田德, 周臣凯, 唐世泽, 周强, 黄明月, 邓英. 基于自适应模型预测控制的大型风电机组MPPT方法[J]. 太阳能学报. 2023, 44(6): 501-508 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0958

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

中图分类号： TM614

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