The invention discloses a transverse time axis clustering method in generalized
load modeling on the basis of time periods. According to the method, root
bus data formed by
wind power and loads of the whole year are obtained; the data are processed, all the processed data are connected end to end, the data in rows form the transverse
continuous data which are divided into M sections according to transverse time units THN, and all the data are transversely clustered; based on the transverse
cluster result, a sample
data source to be analyzed is divided into q transverse classes, and each class is represented by the respective clustering center; feature vectors are intersected and matched. The classes to which samples belong are judged through intersecting and matching of the feature vectors, generalized
load modeling is utilized for setting up an accurate model and testing the effectiveness of the clustering strategy, and the
simulation result shows that generalized
load modeling carried out after clustering analysis makes the model practical on the basis of meeting the requirement for accuracy, and is beneficial for improving the
simulation accuracy and the
simulation effectiveness of an electrical power
system.