Wind power prediction method of single wind turbine generator

摘要

The present invention discloses a wind power prediction method for a single wind turbine generator, comprising: extracting a plurality of data fragments, each of which has a length of L, from a historical database to determine a feature fragment core library before a current time point T, wherein L is an integer greater than or equal to one; clustering the feature fragment core library to form w cluster subsets and w cluster centers with the adoption of a clustering algorithm, wherein w is an integer greater than or equal to one; and determining power P (T+1) at a time-point T+1 to be predicted according to the w cluster centers and a center of a current time fragment, the current time fragment representing a time period from time point T-Z to time point T, wherein Z is a step number and 1‰¤Z‰¤L. The wind power prediction method for the single wind turbine provided by the present invention can reliably and effectively forecast the wind power.