摘要
针对超高压输电线路不同暂态过程产生的暂态零序电流信号发展趋势不同的特点,探讨了将小波分析和信息熵相结合,利用小波相对熵值的差别来识别不同暂态过程的可能性。首先建立了单相接地故障、开关动作、故障性雷击、雷电干扰4种基本暂态过程模型,对暂态信号进行多分辨分析,得到各暂态过程的标准小波能谱矩阵,然后计算各种暂态信号与标准能谱矩阵之间的小波相对熵。仿真结果表明,小波相对熵能较好地体现不同信号小波能谱矩阵之间的差异,将其应用于输电线路暂态信号识别是可行的。
According to different developing trends of transient zero-sequence currents caused by different transient processes in UHV transmission lines, the possibility of using the discrepancy among wavelet relative entropy （WRE） values, in which the wavelet analysis is combined with information entropy, to recognize different transient processes is researched For this purpose, firstly, four models of basic transient processes in UHV transmission lines are built, including single-phase earth fault, switching over of circuit breaker, lightning stroke that can cause failures and lightning disturbance; then the multiresolution analysis on transient signals are proceeded to obtain standard wavelet energy spectrum matrices; finally, the WRE values between various transient signals and standard energy spectrums are calculated. Simulation results show that WRE values can well reflect the discrepancy of wavelet energy spectrum matrices for different transient signals, therefore, it is feasible to use the discrepancy among WRE values to recognize transient signals in UHV transmission lines.
出处
《电网技术》
EI
CSCD
北大核心
2008年第15期47-51,共5页
Power System Technology
关键词
小波变换
小波相对熵
信息熵
信号识别
输电线路
wavelet transform： wavelet relative entropy（WRE）： information entropy： signal recognition： transmission line
