The invention provides an intelligent power grid operation monitoring information identification and classification method based on clustering. According to the method, clustering analysis is introduced into the research on power grid monitoring, and historically archived power grid monitoring warning signals converted into an effective warning signal document collection on the premise that the historically archived power grid monitoring warning signals are preprocessed. Corresponding spatial feature vectors are established with the clustering analysis method and typical warning signal spatial feature vectors are calculated in combination with the K-means algorithm. When new warning information appears, new warning signals can be classified by calculating the similarity between the new warning information and the typical warning signal spatial feature vectors. Thus, automatic classification of power grid monitoring information is realized, the identification efficiency of warning signals of power grid equipment is improved, overlook of signals and wrong identification are prevented, and safe and stable operation of power grids is guaranteed.