scholarly journals Small Current Fault Line Selection Based on Improved Empirical Mode Decomposition and Fractal Dimension Method

CONVERTER ◽  
2021 ◽  
pp. 09-18
Author(s):  
Chao Liu, Limei Yan,Yina Zhou
Keyword(s):  
Fractal Dimension ◽  
Fault Line ◽  
Small Current ◽  
Grounding System ◽  
Scale Free ◽  
Fault Line Selection ◽  
Mode Decomposition ◽  
Zero Sequence ◽  
Line Selection ◽  
Line Slope

In this paper, the fault steady state and transient characteristics of small current grounding system are analyzed, and the distribution of transient zero sequence current is introduced. A fault line selection based on EMD and fractal dimension method is proposed. After the parameter is determined, the problem is proposed and improved. Using the simulated annealing K-means algorithm to find the scale-free interval curve to get the line slope is the correlation dimension of the line. Finally, by comparing the size of the associated dimension, you can select the corresponding line of the faulty distribution network.

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.

scholarly journals A new approach to fault-line selection of small current neutral grounding system

2018 ◽  
Vol 6 (3) ◽  
pp. 28-34 ◽  
Author(s):  
Yujie Chen ◽  
Huiwei Chen ◽  
Baoye Song ◽  
Yanni Liu ◽  
Peixue Liu
Keyword(s):  
Fault Line ◽  
Small Current ◽  
New Approach ◽  
Grounding System ◽  
Fault Line Selection ◽  
Line Selection ◽  
Selection Of

The Fault Line Selection Method of Small Current Grounding System Based on Wavelet Transformation

2011 ◽  
Vol 354-355 ◽  
pp. 149-152 ◽  
Author(s):  
Hua Li ◽  
Ling Ling Li ◽  
Shan Shan Huang ◽  
Feng Qiang Li
Keyword(s):  
Wavelet Transformation ◽  
Selection Method ◽  
Matlab Simulation ◽  
Fault Line ◽  
Transformation Theory ◽  
Small Current ◽  
Grounding System ◽  
Fault Line Selection ◽  
Line Selection ◽  
Modulus Maxima

In order to make full use of small current grounding system transient information and to improve the accuracy of fault line selection, a method based on wavelet transformation was proposed. On the basis of wavelets transformation theory and its characteristics, a proper wavelet function was chosen up to take wavelet transform to collected fault data, and then to get the fault line according to the modulus maxima theory. The MATLAB simulation results show the effectiveness of the proposed techniques on improving the accuracy of fault line selection.

The Summarization of Fault Line Selection of Small Current Grounding System

2014 ◽  
Vol 494-495 ◽  
pp. 1775-1778
Author(s):  
Zhi Xia Zhang ◽  
Zhi Lei Wang ◽  
Kun Li
Keyword(s):  
Distribution Network ◽  
Future Research ◽  
Fault Line ◽  
User Requirement ◽  
Small Current ◽  
Grounding System ◽  
Fault Line Selection ◽  
Advantages And Disadvantages ◽  
Protection Technology ◽  
Line Selection

With the development of power technology and the improvement of reliability of power supply of power user requirement, small current grounding system become the main grounding mode of distribution network. Small current grounding power system fault line selection is always one of the puzzles in medium voltage distribution network relay protection technology, until now it has not been solved satisfactorily. In this paper, we summary and review the algorithms of small current fault line selection, review domestic and abroad extensive works and achievements in this field in recent years. Summarizing the fault line selection methods based on the steady state information and transient information and analyzing the advantages and disadvantages of various algorithms, at the same time, we study the difficulties of future research and the directions of research.

Fault Line Selection Research on Single Phase Ground Fault of Small Current Grounding System Based on Wavelet Theory

2014 ◽  
Vol 513-517 ◽  
pp. 3552-3555
Author(s):  
Xiang Gao ◽  
Lu Wang
Keyword(s):  
Single Phase ◽  
Selection Criterion ◽  
Fault Line ◽  
Wavelet Theory ◽  
Small Current ◽  
Grounding System ◽  
Fault Line Selection ◽  
Ground Fault ◽  
Line Selection ◽  
Wavelet Transform Modulus Maximum

For the problem of single-phase ground fault line selection of small current grounding system, in this paper, according to the wavelet theory advantage processing capabilities of transient mutation signal ,line selection criterion based on wavelet transform modulus maximum principle of singularity detection is proposed . By analyzing the single-phase ground fault waveform of small current grounding system in the neutral point not effective grounding system, steady state and transient characteristics of fault occurs is obtained, building bus with three outlets of 10KV small current grounding system simulation model by using MATLAB software, and verifying the validity though a large number of simulation experiments on the method.

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