基于数据挖掘技术的电气化铁路电能质量控制研究

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

针对电气化铁路电能质量控制准确度较低等问题,提出基于数据挖掘技术的电气化铁路电能质量控制方法。首先分析当前电气化铁路电能质量控制方法的研究现状,并提取电气化铁路电能质量变化特征;然后将特征输入到数据挖掘技术中的深度学习网络进行训练,建立相应的电气化铁路电能质量控制模型;最后与其他方法进行了电气化铁路电能质量控制仿真对比实验,结果表明,所提方法提高了电气化铁路电能质量控制准确度,获得了更优的电气化铁路电能质量控制结果,具有广泛的应用前景。

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.