A New Method for Clustering Wind Speed Data in Wind Power Plants Using FCM and PSO Algorithms
Subject Areas : electrical and computer engineeringحسین افراخته 1 , یاسر بستانی املشی 2
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Abstract :
Fuzzy clustering Method (FCM) is a commonly used method of data clustering. But, when too much data are available, the use of this method usually may lead to non-homogeneous distribution of data. In this paper a new method for clustering of wind speed data in wind farms is presented. In this method, using the PSO algorithm, wind speed data is clustered and the obtained results are compared with those of FCM and K-means clustering methods. Simulation results indicate the proposed method has better convergence than K-means and FCM methods, especially in conditions which too much data are not available.
