Research on power quality control of electrified railway based on data mining technology

Aiming at the low accuracy of power quality control in electrified railway, a power quality control method based on data mining technology is proposed. Firstly, the current research status of power quality control of electrified railway is analyzed, and the change characteristics of power quality of electrified railway are extracted. Then, the characteristics are input into the deep learning network of data mining technology for training, and the corresponding power quality control model of electrified railway is established. Finally, the simulation experiment of power quality control of electrified railway is carried out with other methods, and the results are shown in the table. The results show that this method can improve the accuracy of power quality control of electrified railway and obtain better results of power quality control of electrified railway, which has a wide application prospect.