Fault traveling wave location method based on EMD and improvement threshold denoising

Abstract

To solve the problem of inaccurate location caused by noise interference in the existing distribution network fault transient traveling wave signal, thus a fault location method based on empirical mode decomposition (EMD) and improved threshold denoising is proposed. The EMD algorithm is used to decompose the fault traveling wave signal into Intrinsic mode function (IMF) components, filter out the noisy low frequency components. The IMF with noise is processed by the improved threshold method and reconstructed to realize the accurate calibration of fault traveling wave head. The experimental results show that the proposed method can have good denoising ability and accurately identify the noisy fault traveling wave head. Theoretical analysis and simulation results both show that the method can greatly improve the accuracy of fault diagnosis and location, possessing strong robustness and adaptability.