Dynamic Wind Farm Power Prediction Method Based on Cluster Analysis

This article studies a dynamic wind farm total power prediction method based on clustering analysis, which includes the following steps: obtaining on-site actual operating data of each wind turbine; Obtain the operating characteristics of each wind turbine based on actual on-site operation data, cluster and analyze all wind turbines based on the operating characteristics, and simultaneously update the clustering results by cycle to obtain the power prediction results of each subregion within each cycle; Superposition the power prediction results of each sub region to obtain the total power of the wind farm. Compared with existing technologies, this article has the advantages of quickly describing rapidly changing wind farms and high accuracy in predicting results.