Research on Fault Diagnosis of Electrical Network Method Grounding Network Based on SCHO

The grounding grid is mainly made of galvanized steel and is buried 1-2 meters below the soil. As the operating life increases, it may suffer from galvanic corrosion and microbial corrosion. In order to ensure the safe operation of the substation, the staff of the State Grid need to grasp the corrosion situation of the grounding network in time. At present, the corrosion detection mainly adopts the electrical network theory method, but there is a problem of underdetermination. In this paper, Sine Cosine Optimizer is proposed to be used to accurately and efficiently locate the corrosion location of the grounding grid, and the experimental results show that the proposed method has stronger convergence ability and higher accuracy, which is better than other optimization methods.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icetac65964.2025.11144398
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Research on Fault Diagnosis of Electrical Network Method Grounding Network Based on SCHO

Hongbo Guo, Qiang Cao, Yuebo Jia, Zhigang Wang
Advanced Computational Techniques and Applications
article

Research on Fault Diagnosis of Electrical Network Method Grounding Network Based on SCHO

Hongbo Guo, Qiang Cao, Yuebo Jia, Zhigang Wang
article en

Abstract

The grounding grid is mainly made of galvanized steel and is buried 1-2 meters below the soil. As the operating life increases, it may suffer from galvanic corrosion and microbial corrosion. In order to ensure the safe operation of the substation, the staff of the State Grid need to grasp the corrosion situation of the grounding network in time. At present, the corrosion detection mainly adopts the electrical network theory method, but there is a problem of underdetermination. In this paper, Sine Cosine Optimizer is proposed to be used to accurately and efficiently locate the corrosion location of the grounding grid, and the experimental results show that the proposed method has stronger convergence ability and higher accuracy, which is better than other optimization methods.

Jilin Electric Power Research Institute (China) (CN)
Science and Technology Project of State Grid
Openalex Percentile: Top 88%
Advanced Computational Techniques and Applications
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