基于时频分析的机组风速预测

Wind speed prediction of unit based on time-frequency analysis

文章提出了一种基于时频分析的机组风速预测算法,通过对气象数据的时域分析和频域分析,获得不同状态下风速的信号特征。预测不同特征下的风速信号来修正机组的风速,能更好地了解风能资源的分布和变化规律,以及风机的运行状态和性能,进而实现风机发电效能提升。

This article proposes a wind speed prediction algorithm for units based on time-frequency analysis.Through time domain analysis and frequency domain analysis of meteorological data,wind speed signal characteristics under different conditions can be obtained,and then wind speed signals under different characteristics can be predicted to correct the wind speed of units,so as to better understand the distribution and change law of wind energy resources,as well as the operation status and performance of fans.Thus,the efficiency of fan power generation can be improved.