行波故障定位中小波基的选择  

Selection of Wavelet Bases for Traveling Wave Fault Location

作　　者：黄子俊[1] 陈允平[2] 

机构地区：[1]空军雷达学院,湖北省武汉市430010 [2]武汉大学电气工程学院,湖北省武汉市430072

出　　处：《电力系统自动化》2006年第3期61-64,104,共5页Automation of Electric Power Systems

摘　　要：在分析行波信号奇异性的性质和小波基特征的基础上,提出了奇异信号检测中小波基的选择原则,针对行波信号中出现的2种不同类型的奇异信号分别选出合适的小波基。对于突变奇异信号,使用Gaussl小波能取得较好的检测与定位效果;对于缓变奇异信号,则应选择消失矩为2的 Mexican Hat小波。EMTP仿真实验结果表明所选择的小波基具有很强的检测能力和检测精度。This paper proposes the selection principles of wavelet bases for singularity detection on the base of analyzing the singularities of traveling wave signal and the characteristics of wavelet bases. The wavelet bases applied to two sorts of traveling wave signals that have different singularity are selected. Gaussl wavelet is suitable for the detection of an abruptly changing singularity signal. Mexican Hat wavelet, whose vanishing moment is 2, is suitable for the detection of a slowly changing singularity signal. Simulations using EMTP verify the detecting validity and accuracy of the selected wavelet bases.

关 键 词：故障定位 行波 奇异信号 小波基 

分 类 号：TM755[电气工程—电力系统及自动化]