适应湍流风况变化的风能捕获量-载荷多目标优化最大功率点跟踪控制

发布时间：2018-10-25 09:42

【摘要】：大型风力机广泛应用功率信号反馈(power signalfeedback,PSF)方法实现最大功率点跟踪(maximum power point tracking,MPPT)控制。而目前该方法的改进大多仅专注风能捕获量的提升,忽视了由此导致的转矩剧烈变化对载荷的负面影响。因此,PSF方法的改进有必要在风能捕获和载荷之间进行权衡。根据对风能捕获量和载荷相互影响的仿真分析,发现两者的均衡协调需随湍流风况而改变。基于此,提出了考虑湍流风况变化的风能捕获量-载荷多目标优化MPPT控制。该方法基于恒带宽PSF方法,采用响应面模型离线构建风能捕获量-载荷均衡的决定参数(即带宽)的最优值与湍流风速特征指标的非线性函数关系,通过带宽设定值随风速特征的在线调整,实现了风能捕获量-载荷的多目标优化。最后,应用FAST(Fatigue,Aerodynamics,Structures and Turbulence)软件的仿真结果验证了该方法的有效性。
[Abstract]:Power signal feedback (power signalfeedback,PSF) method is widely used in large wind turbine to realize maximum power point tracking (maximum power point tracking,MPPT) control. At present, the improvement of this method only focuses on the increase of wind energy catch, ignoring the negative effect of the torque change on the load. Therefore, it is necessary to balance the wind energy capture and load with the improvement of PSF method. According to the simulation analysis of wind energy catch and load interaction, it is found that the equilibrium and coordination between them need to change with the turbulent wind condition. Based on this, a multi-objective optimal MPPT control for wind energy capture and load considering the variation of turbulent wind conditions is proposed. Based on the constant bandwidth PSF method, the response surface model is used to construct the nonlinear function relationship between the optimal value of wind energy catch and load balance (i.e. bandwidth) and the characteristic index of turbulent wind speed. The multi-objective optimization of wind energy catch and load is realized by adjusting the bandwidth setting value with the wind speed characteristics online. Finally, the effectiveness of the method is verified by the simulation results of FAST (Fatigue,Aerodynamics,Structures and Turbulence) software).
【作者单位】：南京理工大学自动化学院;江苏省电力公司电力科学研究院;
【基金】：国家自然科学基金项目(61673213,61174038,51507080) 中央高校基本科研业务费专项资金资助(30915011104,30920140112005)~~
【分类号】：TM614

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