ZHU Chengliang, LIU Sanming, WANG Zhijie, et al. Wind Turbine Grouping Method Based on Divisive H-K Clustering Algorithm for Wind Farm[J]. High voltageapparatus, 2016, 52(9): 110-115.
ZHU Chengliang, LIU Sanming, WANG Zhijie, et al. Wind Turbine Grouping Method Based on Divisive H-K Clustering Algorithm for Wind Farm[J]. High voltageapparatus, 2016, 52(9): 110-115. DOI: 10.13296/j.1001-1609.hva.2016.09.019.
Wind Turbine Grouping Method Based on Divisive H-K Clustering Algorithm for Wind Farm
Aiming at the present problems that the number of clusters in the equivalent model of wind farm is uncertainty
the mechanism of wind turbine is analysed. Taking the actual parameters of wind turbine as cluster indexes
silhouette coefficient is introduced to calculate different number of clusters in the equivalent model to obtain the optimal number of clusters of wind farm. According to the clustering algorithm
complete equivalent model of wind farm is set up. A detailed model and clustering model of wind farm are built on MATLAB. Under two wind speed conditions
the active power and reactive power curve of the two models are analyzed in the two models. The results of simulation show that
using the method of equivalent model and the detailed model of wind farm in the output of active power and reactive power curves at the same time the relative error is quiet little. The accuracy of the model is improved. So this method can be used in making equivalent model of wind farm
which can accurately reflect the dynamic response of wind farm.