Open AccessFault location of hybrid distribution lines based on empirical mode decomposition
Author(s) -
Yu Song,
Hongjuan Han,
Miao Liu,
Guanyu Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/687/1/012139
Subject(s) - hilbert–huang transform , fault (geology) , energy (signal processing) , transient (computer programming) , mode (computer interface) , signal (programming language) , computer science , algorithm , time–frequency analysis , singularity , fault detection and isolation , point (geometry) , pattern recognition (psychology) , artificial intelligence , mathematics , geology , seismology , telecommunications , statistics , actuator , mathematical analysis , radar , geometry , programming language , operating system
This paper presents a fault location method for cable hybrid distribution lines based on EMD and TEO algorithm. Firstly, the fault signal is decomposed by EMD. Then, the transient energy spectrum of high frequency imf1 component is obtained by using Teager energy operator. The first energy singularity is the time when the fault initial traveling wave head reaches the detection point. Finally, the fault location is carried out according to the fault search algorithm based on time variable. According to the simulation results, EMD and TEO methods have better fault extraction ability and higher accuracy in fault location.