Identification of Transient and Permanent Faults
李幼仪;董新洲;孙元章
【期刊名称】《清华大学学报（英文版）》 【年(卷),期】2003(008)006
【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. 【总页数】4页(672-675)
【关键词】autoreclosure;fault arcs;wavelet transform;high-frequency current transients
【作者】李幼仪;董新洲;孙元章
【作者单位】Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;Department of Electrical Engineering,
Identification of Transient and Permanent Faults
