Study of power load classification based on adaptive fuzzy C means

For the load time-variant characteristic in load modeling,this paper proposes a classification approach of the power load characteristics based on adaptive fuzzy C-means algorithm.It discusses the applications of clustering analysis in load characteristics classification,including the clustering feature vectors selection and study of the classification means.Based on study of the classification number C in the primal fuzzy C-means clustering algorithm,a new clustering validity function is added into the original fuzzy C-means to improve the original method,and the improved algorithm does not require pre-selected number of classes as a priori.A load classification example result with data based on dynamic simulation shows that the method can automatically obtain the best classification number,and classification is better than the original algorithm.