电力系统保护与控制2024，Vol.52Issue(4)：1-11,11.DOI:10.19783/j.cnki.pspc.230911
基于参数优化VMD和TET的柔直线路单端故障测距方法
Single-end fault location method for MMC-HVDC transmission lines based on parameter-optimized VMD and TET
摘要
Abstract
The single-ended traveling wave fault location method needs to extract the time-frequency domain characteristics of the fault traveling wave when considering the influence of frequency-dependent wave velocity.However,existing methods have low time-frequency resolution,difficulty in identifying the wave head,and inaccurate calculation of wave speed.Therefore,a single-ended fault location method based on parameter-optimized variational mode decomposition(VMD)and transient extraction transform(TET)is proposed.First,the VMD parameters are optimized using the sparrow search algorithm(SSA)to extract the high-frequency modal components containing fault features.Then,a time-frequency analysis method based on transient extraction transform is proposed.This removes the ambiguous time-frequency energy in the short-time Fourier transform and only retains the time-frequency information closely related to the transient characteristics of the signal,accurately extracting the time-frequency characteristics of the fault traveling wave.Finally,this paper extracts the main frequency component of the fault traveling wave full waveform and calibrates the initial wavehead and the second reflected wavehead,and calculates the wave velocity under the main frequency component,so as to realize the single-ended fault location.The simulation results of a four-terminal flexible DC grid built in PSCAD/EMTDC show that the proposed algorithm has strong tolerance to transition resistance and noise,and can achieve accurate fault location even at low sampling rates.关键词
柔性直流输电/单端故障测距/频变波速/变分模态分解/时频分析Key words
MMC-HVDC/single-ended fault location/frequency-variable wave speed/variational mode decomposition/time-frequency analysis引用本文复制引用
池梓斌,夏成军,杨明嘉..基于参数优化VMD和TET的柔直线路单端故障测距方法[J].电力系统保护与控制,2024,52(4):1-11,11.基金项目
This work is supported by the National Key Research and Development Program of China(No.2022YFB2403500). 国家重点研发计划项目资助(2022YFB2403500) （No.2022YFB2403500）
