Traveling Wave Fault Localization Method Based on ICEEMDAN and DEO3S

Abstract

This paper proposes a fault localization method based on ICEEMDAN and DEO3S, which addresses the shortcomings of existing DC distribution network fault localization methods. The method employs the ICEEMDAN algorithm to adaptively decompose the fault voltage travelling wave signal at both ends of the current limiting reactor. The fault line is used to identify the main frequency component of the fault travelling wave, which is then extracted using the DEO3S algorithm to determine the precise moment when the fault travelling wave head arrives. This enables the fault point to be located with greater precision. The effectiveness of the fault location method is verified. A 10kVDC distribution line model was constructed using PSCAD/EMTDC to simulate various fault conditions. The results of this simulation demonstrate that the proposed method exhibits high accuracy in fault location, effectively mitigates the impact of random noise and initial travelling wave arrival time on location results, and exhibits high reliability.