将S变换、奇异值分解及信息熵理论相结合,用于带并联电抗器的超高压长输电线路瞬时性与永久性故障的识别中。首先直接对故障相电压作S变换求模时频矩阵,然后对该矩阵进行奇异值分解,量化其特征差异,再利用信息熵理论对奇异值求其能量熵,从统计的角度给出系统的奇异值能量熵,最后用简单的符号识别法进行故障的分类。仿真结果表明,其该方法准确率高、稳定性好。 Combining S transform, singular value decomposition and information entropy theory, it is applied to the identification of instantaneous and permanent faults in EHV transmission lines with shunt reactors. First of all, the fault phase voltage is directly transformed to S-transform and time-frequency matrix, and then the matrix is ​​singularly value decomposed to quantify its characteristic difference. Then the entropy theory is used to find the energy entropy of the singular value. From the statistical point of view, Singular value energy entropy, and finally use a simple symbol recognition method for fault classification. Simulation results show that the method has high accuracy and good stability.