浙江电力2023，Vol.42Issue(12)：45-53,9.DOI:10.19585/j.zjdl.202312006
电缆次周期扰动电压特征提取方法
A feature extraction method of cable sub-cycle disturbance voltage
摘要
Abstract
When insulation defects arise in cables,they trigger the occurrence of sub-cycle disturbance voltage,making it imperative to extract the disturbance voltage features for timely defect detection and ensuring safe opera-tion.To address this need,a method for extracting cable sub-cycle disturbance voltage features is introduced.Firstly,the cable's sub-cycle disturbance voltage waveform is obtained through testing,and two characteristic pa-rameters,namely time and amplitude,are defined for the disturbance waveform.Subsequently,voltage amplitude changes are rapidly tracked using the strong tracking Kalman filter(STKF).Adaptive parameters are established to suppress fluctuations in the parameters of the Gaussian mixture model(GMM),facilitating the extraction of distur-bance voltage characteristic parameters through the combined use of STKF and GMM.The algorithm is then tested using disturbance voltage data obtained from experiments,and the effects of adaptive parameters,sampling fre-quency,and the detection algorithm's dead zone within the Gaussian mixture model on the extraction of characteris-tic parameters are analyzed.MATLAB simulation results demonstrate that the computational outcomes remain rela-tively stable when the voltage sampling frequency is set at 2.25 kHz and above.This validation underscores the method's capability to extract characteristic parameters related to cable sub-cycle disturbance voltage.关键词
电缆绝缘缺陷/次周期电压/强跟踪卡尔曼滤波/高斯混合模型Key words
cable insulation defect/sub-cycle voltage/strong tracking Kalman filter/Gaussian mixture model引用本文复制引用
任广振,王云鹤,曹俊平,李乃一,雍静..电缆次周期扰动电压特征提取方法[J].浙江电力,2023,42(12):45-53,9.基金项目
国网浙江省电力有限公司科技项目(5211DS20007P) （5211DS20007P）
