基于实测数据的风电机组动态调节性能研究

Dynamic Adjustment Performance of Wind Turbines Based on Measured Data

风电机组动态调节性能(dynamic adjustment performance,DAP)与运行状态点变化轨迹密切相关,难以用一种统一的机理模型刻画。为此,文章基于实测数据,提出了一种风电机组DAP的研究方法。首先,详细分析了功率调节过程中机组运行状态变化机理;接着,提出了一种运行状态点变化轨迹挖掘方法,该方法从风电机组的实际输入数据、控制数据和输出数据中挖掘三者复杂的非线性关系;然后,基于运行状态点变化轨迹,提出了评价机组DAP的参量,并给出了详细的计算方法;最后,通过案例并结合实际数据对比分析,表明所提方法能够有效量化机组的DAP,准确刻画机组调节性能的动态时变过程。

The dynamic adjustment performance(DAP)of WTs is closely related to the trajectory curve of the operating state points(TCOSP),which is difficult to be characterized by a unified mechanic model.Therefore,based on the measured data,this paper proposes a research method for DAP of WTs.First,we analyzed the mechanism of operating state changes during the power regulation process in detail.Second,we proposed a method of developing the TCOSP by mining the complex relationships between the output power,the input data and the control data from the big data of WTs in actual operation.Then,based on the TCOSP,we proposed the parameters for evaluating the DAP of WTs and gave the detailed calculation methods.Finally,through the case study and the actual data comparative analysis,it is shown that this method can effectively quantify the DAP of WTs and accurately characterize the dynamic time-varying process of the WT’s adjustment performance.