The invention brings forward a high-speed rail electric energy quality monitoring data classification method based on a K mean value. The method comprises, first of all, separating electric energy quality data of only one high-speed rail on a power supply arm, then by using operation time of the high-speed rail and the statistical value of an electric energy quality indicator as sample data, performing normalization, carrying out K mean value clustering, and finally obtaining classification of electric energy quality monitoring data of different models. According to electric energy quality monitoring data of a high-speed rail traction station, the invention provides a method for easily and rapidly separating the electric energy quality data of only one high-speed rail on a certain power supply arm; by use of a K mean value cluster algorithm, electric energy quality data classification of high-speed rail models is finished; and not only can a basis be provided for research on the electric energy quality problem brought by high-speed rails of a certain type to a power network, the electric energy quality monitoring data classification can also be carried out for various conditions, and a basis is provided for further refining the electric energy quality characteristic analysis of a high-speed rail load.