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Electrical Engineering

Regionalized fault line in distribution networks based on an improved SSA-VMD and multi-scale fuzzy entropy

  • 08-08-2023
  • Original Paper
Published in:
Authors
Bofan Chen
Yanzhou Sun
Xiaoyan Song
Bin Wang
Published in
Electrical Engineering | Issue 6/2023

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Abstract

The article introduces a sophisticated method for detecting fault lines in distribution networks, focusing on single-phase ground faults. It leverages an improved Sparrow Search Algorithm (SSA) optimized Variational Mode Decomposition (VMD) and multi-scale fuzzy entropy to overcome the limitations of traditional methods. The SSA-VMD algorithm is enhanced with an elite opposition-based learning strategy to improve population diversity and avoid premature convergence. The method calculates the multi-scale fuzzy entropy of zero-sequence current power frequency components and uses the partial mean of multi-scale fuzzy entropy as a criterion for fault line selection. Simulation experiments and real-world data from a 10-kV distribution network demonstrate the method's high reliability and robustness in accurately selecting fault lines. This innovative approach offers significant improvements over existing fault line detection techniques, making it a valuable resource for professionals in the field.
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Title
Regionalized fault line in distribution networks based on an improved SSA-VMD and multi-scale fuzzy entropy
Authors
Bofan Chen
Yanzhou Sun
Xiaoyan Song
Bin Wang
Publication date
08-08-2023
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 6/2023
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-023-01927-y
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