Identification of Transient and Permanent Faults  

作　　者：李幼仪 董新洲 孙元章 

机构地区：[1]Department of Electrical Engineering, Tsinghua University

出　　处：《Tsinghua Science and Technology》2003年第6期672-675,共4页清华大学学报（自然科学版（英文版）

基　　金：the National Natural Science Foundationof China(No.5 0 0 770 11)

摘　　要：A new algorithm was developed for arcing fault detection based on high-frequency current transients analyzed with wavelet transforms to avoid automatic reclosing on permanent faults. The characteristics of arc currents during transient faults were investigated. The current curves of transient and permanent faults are quite similar since current variation from the fault arc is much less than the voltage variation. However, the fault current details are quite different because of the arc extinguishing and reigniting. Dyadic wavelet transforms were used to identify the current variation since wavelet transform has time-frequency localization ability. Many electric magnetic transient program (EMTP) simulations have verified the feasibility of the algorithm.A new algorithm was developed for arcing fault detection based on high-frequency current transients analyzed with wavelet transforms to avoid automatic reclosing on permanent faults. The characteristics of arc currents during transient faults were investigated. The current curves of transient and permanent faults are quite similar since current variation from the fault arc is much less than the voltage variation. However, the fault current details are quite different because of the arc extinguishing and reigniting. Dyadic wavelet transforms were used to identify the current variation since wavelet transform has time-frequency localization ability. Many electric magnetic transient program (EMTP) simulations have verified the feasibility of the algorithm.

关 键 词：AUTORECLOSURE fault arcs wavelet transform high-frequency current transients 

分 类 号：TN015[电子电信—物理电子学]