时变滤波互补集合经验模态分解和STET的配电网故障定位方法OA

In response to the problem of inaccurate fault location caused by the difficulty in wave head extraction for the distribution network fault traveling wave in an environment with strong noise,a distribution network fault location meth⁃od based on time-varying filtering complementary ensemble empirical mode decomposition and second-order transient extraction transform(STET)is proposed.First,the traveling wave signal containing strong noise is decomposed using time-varying filtering complementary ensemble empirical mode decomposition to obtain each intrinsic mode function,and the effective signal is selected and reconstructed by calculating the corresponding energy entropy increment to ob⁃tain the noise-reduced traveling wave signal.Second,the improved complete ensemble empirical mode decomposition algorithm with adaptive noise is used to decompose the noise-reduced signal,so as to extract the intrinsic mode func⁃tions containing the fault information.Finally,STET is performed on the extracted components to highlight the traveling wave mutation characteristics,thus realizing the accurate extraction of wave arrival time.In addition,the improved dou⁃ble-terminal method is used to realize the precise fault location.Through simulations,it is verified that the fault location error of the proposed method in the environment with strong noise is less than 1%,and good applicability and location accuracy are maintained under conditions of multiple fault types.