scholarly journals Faulty Line Selection Method for Distribution Network Based on Variable Scale Bistable System

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Xiaowei Wang ◽  
Jie Gao ◽  
Guobing Song ◽  
Qiming Cheng ◽  
Xiangxiang Wei ◽  
...  
Keyword(s):  
Selection Criterion ◽  
Correlation Coefficients ◽  
Selection Method ◽  
Bistable System ◽  
Small Current ◽  
Line Characteristic ◽  
Scale Ratio ◽  
Zero Sequence ◽  
Line Selection ◽  
Weak Fault

Since weak fault signals often lead to the misjudgment and other problems for faulty line selection in small current to ground system, this paper proposes a novel faulty line selection method based on variable scale bistable system (VSBS). Firstly, VSBS is adopted to analyze the transient zero-sequence current (TZSC) with different frequency variety scale ratio and noise intensity, and the results show that VSBS can effectively extract the variation trends of initial stage of TZSC. Secondly, TZSC is input to VSBS for calculation with Runge-Kutta equations, and the output signal is chosen as the characteristic currents. Lastly, correlation coefficients of every line characteristic current are used as the index to a novel faulty line selection criterion. A large number of simulation experiments prove that the proposed method can accurately select the faulty line and extract weak fault signals in the environment with strong noise.

scholarly journals Single-phase-to-ground Fault Line Selection Method Based on STOA-SVM

2021 ◽  
Vol 2095 (1) ◽  
pp. 012029
Author(s):  
Yicen Liu ◽  
Xiaojiang Liu ◽  
Songhai Fan ◽  
Xiaomin Ma ◽  
Sijing Deng
Keyword(s):  
Single Phase ◽  
Distribution Network ◽  
Ensemble Empirical Mode Decomposition ◽  
Selection Method ◽  
Support Vector ◽  
Ground Fault ◽  
Mode Decomposition ◽  
Before And After ◽  
Zero Sequence ◽  
Line Selection

Abstract In view of the complex characteristics of nonlinearity and non-stableness of the zero-order current of each line after the single-phase ground fault of the distribution network, a distribution network fault selection method based on Sooty Tern Optimization Algorithm(STOA) and the combination of support vector machine is proposed. At first, the zero-sequence current before and after fault is obtained, then five kinds of IMFs including different components are obtained by ensemble empirical mode decomposition, and the energy entropy of the fault transient zero-sequence current is obtained by Hilbert transform, the results of training and testing are obtained by inputting the feature vector. The simulation results show that the accuracy of the proposed line selection model is 97.5%.

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.

An adaptive fault detection method based on atom sparse and evidence fusion for the small current to ground system

2017 ◽  
Vol 40 (5) ◽  
pp. 1579-1592
Author(s):  
Xiaowei Wang ◽  
Xiangxiang Wei ◽  
Dechang Yang ◽  
Jie Gao ◽  
Xue Sun ◽  
...  
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Matching Pursuit ◽  
Evidence Theory ◽  
Correlation Coefficients ◽  
Small Current ◽  
Ground System ◽  
Zero Sequence ◽  
Matching Pursuit Algorithm ◽  
Fusion Theory

An adaptive fault detection method for the small current to ground system is proposed based on the atom sparse and evidence fusion theory. Firstly, the two cycles of transient zero-sequence current are obtained when occur fault, which is decomposed by the matching pursuit algorithm, and the iterations are set to four, then, according to the correlation analysis, the best three atoms of maximum correlation are chosen and which are sorted by the correlation coefficients. Secondly, we obtained the determine fault measure (DFM) values by calculating the atomic energy entropy, and selected the atomic fault trust (FT) function by revising the DFM. Finally, the FT values are integrated by the D-S (Dempster–Shafer) evidence theory, then the fault comprehensive trust values are gained, the selection results are output. Simulation results show that the method of fault line detection is accurate and reliable.

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