Fault Line Selection in Resonant Grounded System Based on IMEn

2014 ◽  
Vol 960-961 ◽  
pp. 755-758
Author(s):  
Meng Zhang ◽  
Jian Wen Ren
Keyword(s):  
Empirical Mode Decomposition ◽  
Signal Analysis ◽  
Single Phase ◽  
Sample Entropy ◽  
Fault Current ◽  
Fault Line ◽  
Fault Line Selection ◽  
Ground Fault ◽  
Mode Decomposition ◽  
Line Selection

When the single phase ground fault occurs in resonant grounded system, there are significant differences in the components of fault phase current between fault line and non-fault line. This feature can be reflected by intrinsic mode entropy (IMEn) of fault current. IMEn is a new signal analysis over multiple oscillation levels. It corresponds to the sample entropy (SampEn) and the empirical mode decomposition (EMD). The results of fault simulations in different conditions indicate that the method is reliable.

Line Selection Analysis of Ground Fault in Distribution Network Based on Chief Half-Wave and Remnant Current

2012 ◽  
Vol 482-484 ◽  
pp. 2197-2203 ◽  
Author(s):  
Fang Peng ◽  
Yu Shen Zhou ◽  
Yong Feng Liu ◽  
An Hui Yuan ◽  
Lei Zhu
Keyword(s):  
Distribution System ◽  
Single Phase ◽  
Neutral System ◽  
Selection Methods ◽  
Fault Line ◽  
Fault Line Selection ◽  
Ground Fault ◽  
Half Wave ◽  
Line Selection ◽  
Isolated Neutral

Abstract：This paper analyses characteristics of single-phase ground fault in distribution system. Now, most of the line selection methods have some limitations, which leads to the low accuracy of the fault line selection. In order to solve above problems, make use of the matlab software in this article to simulate and analyze the isolated neutral system and resonance neutral earthing system when they occur single-phase ground fault. Finally, the new method based on first half wave method and increment of residual current to improve the accuracy of fault line selection is proposed.

scholarly journals Optimal Denoising and Feature Extraction Methods Using Modified CEEMD Combined with Duffing System and Their Applications in Fault Line Selection of Non-Solid-Earthed Network

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 536 ◽  
Author(s):  
Sizu Hou ◽  
Wei Guo
Keyword(s):  
Noise Reduction ◽  
Empirical Mode Decomposition ◽  
Ensemble Empirical Mode Decomposition ◽  
Fault Line ◽  
Fault Line Selection ◽  
Duffing System ◽  
Mode Decomposition ◽  
Force Signal ◽  
Zero Sequence ◽  
Line Selection

As the non-solid-earthed network fails, the zero-sequence current of each line is highly non-stationary, and the noise component is serious. This paper proposes a fault line selection method based on modified complementary ensemble empirical mode decomposition (MCEEMD) and the Duffing system. Here, based on generalized composite multiscale permutation entropy (GCMPE) and support vector machine (SVM) for signal randomness detection, the complementary ensemble empirical mode decomposition is modified. The MCEEMD algorithm has good adaptability, and it can restrain the modal aliasing of empirical mode decomposition (EMD) at a certain level. The Duffing system is highly sensitive when the frequency of the external force signal is the same as that of the internal force signal. For automatically identifying chaotic characteristics, by using the texture features of the phase diagram, the method can quickly obtain the numerical criterion of the chaotic nature. Firstly, the zero-sequence current is decomposed into a series of intrinsic mode functions (IMF) to complete the first noise-reduction. Then an optimized smooth denoising model is established to select optimal IMF for signal reconstruction, which can complete the second noise-reduction. Finally, the reconstructed signal is put into the Duffing system. The trisection symmetry phase estimation is used to determine the relative phase of the detection signal. The faulty line in the non-solid-earthed network is selected with the diagram outputted by the Duffing system.

Sign in / Sign up

Export Citation Format

Share Document