摘要
针对超高压线路中自动重合闸盲目重合的问题,提出了一种基于经验小波变换(Empirical Wavelet Transform,EWT)和改进的Prony算法相结合的故障识别方法.首先采用EWT获得去噪后的振荡信号,然后利用Prony算法计算重构信号频率,最后根据瞬时性故障特有的拍频特性进行识别.通过仿真结果表明,该方法可准确有效地判别故障性质.
Aiming at the problem of single-phase transient fault and permanent fault in EHV transmission line with shunt reactor,a fault identification method based on empirical wavelet transform(EWT)and Improved Prony algorithm is proposed.Firstly,EWT is used to denoise the signal,and then Prony algorithm is used to calculate the frequency of the reconstructed signal,according to the characteristics of the instantaneous fault.Finally,the simulation results show that the method can accurately and effectively identify the nature of the fault.
作者
张宇辉
邵毕成
孔祥旭
徐璐
ZHANG Yuhui;SHAO Bicheng;KONG xiangxu;XU Lu(Electrical Engineering College,Northeast Electric Power University,Jilin Jilin 132012;Mechanical Engineering College,Yancheng Institute of technology,Yancheng Jiangsu 224051)
出处
《东北电力大学学报》
2022年第4期28-34,共7页
Journal of Northeast Electric Power University
基金
国家重点研发计划项目(2017YFB0902205)。
关键词
单相自适应重合闸
瞬时性故障
恢复电压
经验小波变换
PRONY算法
故障识别
Single phase adaptive reclosing
Transient fault
Recovery voltage
Empirical wavelet transform
Prony algorithm
Fault identification
