A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation

Mingyang Li; Shaorong Cao; Wei Niu; Mingdong Zhang; Weidong Xie

doi:doi:10.11648/j.ajece.20220602.12

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A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation

Mingyang Li, Shaorong Cao, Wei Niu, Mingdong Zhang, Weidong Xie

Published in American Journal of Electrical and Computer Engineering (Volume 6, Issue 2)

Received: 29 June 2022 Accepted: 12 July 2022 Published: 28 July 2022

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Abstract

The grounding grid is one of the most important components of the power grid. However, the grounding grid is buried in the ground all year round, corrosion occurs commonly, which not only deteriorates the operation of the power system, but also could result in severe economic loss. The deterioration could be caused by the following reasons: the corrosion of metal conductors in the soil as time goes, the inevitable negligence or omission during construction (such as false welding, missing welding), and the electrodynamic effect of the ground current on the voltage equalizing conductor, etc. Since a well-performed grounding is essential for the security, cost-efficiency, and stability of the substation, the detection of grounding grid corrosion is necessary. In this paper, a new method for detecting the corrosion of the grounding grid is proposed. Specifically, this novel algorithm integrates the advantages of particle swarm optimization and least-squares method-particle swarm optimization. Also, it uses the least-squares algorithm for local tuning. We simulate three different corrosion situations – multiple branches, ring-shaped branches, and straight-lined branches. These simulation results show that our approach provides a very efficient and useful solution. More importantly, a real-world case study is implemented. The results of case study are consistent with the simulation results. Hence, this paper validates the effectiveness of the proposed algorithm on both simulation and experimental level.

Published in	American Journal of Electrical and Computer Engineering (Volume 6, Issue 2)
DOI	10.11648/j.ajece.20220602.12
Page(s)	61-67
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Grounding Substation, Grid Corrosion, Corrosion Detection, Corrosion Simulation

References

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APA Style

Mingyang Li, Shaorong Cao, Wei Niu, Mingdong Zhang, Weidong Xie. (2022). A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation. American Journal of Electrical and Computer Engineering, 6(2), 61-67. https://doi.org/10.11648/j.ajece.20220602.12

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ACS Style

Mingyang Li; Shaorong Cao; Wei Niu; Mingdong Zhang; Weidong Xie. A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation. Am. J. Electr. Comput. Eng. 2022, 6(2), 61-67. doi: 10.11648/j.ajece.20220602.12

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AMA Style

Mingyang Li, Shaorong Cao, Wei Niu, Mingdong Zhang, Weidong Xie. A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation. Am J Electr Comput Eng. 2022;6(2):61-67. doi: 10.11648/j.ajece.20220602.12

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@article{10.11648/j.ajece.20220602.12,
  author = {Mingyang Li and Shaorong Cao and Wei Niu and Mingdong Zhang and Weidong Xie},
  title = {A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {6},
  number = {2},
  pages = {61-67},
  doi = {10.11648/j.ajece.20220602.12},
  url = {https://doi.org/10.11648/j.ajece.20220602.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20220602.12},
  abstract = {The grounding grid is one of the most important components of the power grid. However, the grounding grid is buried in the ground all year round, corrosion occurs commonly, which not only deteriorates the operation of the power system, but also could result in severe economic loss. The deterioration could be caused by the following reasons: the corrosion of metal conductors in the soil as time goes, the inevitable negligence or omission during construction (such as false welding, missing welding), and the electrodynamic effect of the ground current on the voltage equalizing conductor, etc. Since a well-performed grounding is essential for the security, cost-efficiency, and stability of the substation, the detection of grounding grid corrosion is necessary. In this paper, a new method for detecting the corrosion of the grounding grid is proposed. Specifically, this novel algorithm integrates the advantages of particle swarm optimization and least-squares method-particle swarm optimization. Also, it uses the least-squares algorithm for local tuning. We simulate three different corrosion situations – multiple branches, ring-shaped branches, and straight-lined branches. These simulation results show that our approach provides a very efficient and useful solution. More importantly, a real-world case study is implemented. The results of case study are consistent with the simulation results. Hence, this paper validates the effectiveness of the proposed algorithm on both simulation and experimental level.},
 year = {2022}
}

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TY - JOUR
T1 - A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation
AU - Mingyang Li
AU - Shaorong Cao
AU - Wei Niu
AU - Mingdong Zhang
AU - Weidong Xie
Y1 - 2022/07/28
PY - 2022
N1 - https://doi.org/10.11648/j.ajece.20220602.12
DO - 10.11648/j.ajece.20220602.12
T2 - American Journal of Electrical and Computer Engineering
JF - American Journal of Electrical and Computer Engineering
JO - American Journal of Electrical and Computer Engineering
SP - 61
EP - 67
PB - Science Publishing Group
SN - 2640-0502
UR - https://doi.org/10.11648/j.ajece.20220602.12
AB - The grounding grid is one of the most important components of the power grid. However, the grounding grid is buried in the ground all year round, corrosion occurs commonly, which not only deteriorates the operation of the power system, but also could result in severe economic loss. The deterioration could be caused by the following reasons: the corrosion of metal conductors in the soil as time goes, the inevitable negligence or omission during construction (such as false welding, missing welding), and the electrodynamic effect of the ground current on the voltage equalizing conductor, etc. Since a well-performed grounding is essential for the security, cost-efficiency, and stability of the substation, the detection of grounding grid corrosion is necessary. In this paper, a new method for detecting the corrosion of the grounding grid is proposed. Specifically, this novel algorithm integrates the advantages of particle swarm optimization and least-squares method-particle swarm optimization. Also, it uses the least-squares algorithm for local tuning. We simulate three different corrosion situations – multiple branches, ring-shaped branches, and straight-lined branches. These simulation results show that our approach provides a very efficient and useful solution. More importantly, a real-world case study is implemented. The results of case study are consistent with the simulation results. Hence, this paper validates the effectiveness of the proposed algorithm on both simulation and experimental level.
VL - 6
IS - 2
ER -

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Author Information

Mingyang Li

State Grid Gansu Electric Power Company, Lanzhou, China
Shaorong Cao

State Grid Gansu Electric Power Company, Lanzhou, China
Wei Niu

State Grid Gansu Electric Power Company Qiangyang Power Supply Company, Lanzhou, China
Mingdong Zhang

State Grid Gansu Electric Power Company, Lanzhou, China
Weidong Xie

State Grid Gansu Electric Power Company, Lanzhou, China

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Plain Text BibTeX RIS

APA Style

Mingyang Li, Shaorong Cao, Wei Niu, Mingdong Zhang, Weidong Xie. (2022). A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation. American Journal of Electrical and Computer Engineering, 6(2), 61-67. https://doi.org/10.11648/j.ajece.20220602.12

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ACS Style

Mingyang Li; Shaorong Cao; Wei Niu; Mingdong Zhang; Weidong Xie. A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation. Am. J. Electr. Comput. Eng. 2022, 6(2), 61-67. doi: 10.11648/j.ajece.20220602.12

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AMA Style

Mingyang Li, Shaorong Cao, Wei Niu, Mingdong Zhang, Weidong Xie. A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation. Am J Electr Comput Eng. 2022;6(2):61-67. doi: 10.11648/j.ajece.20220602.12

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@article{10.11648/j.ajece.20220602.12,
  author = {Mingyang Li and Shaorong Cao and Wei Niu and Mingdong Zhang and Weidong Xie},
  title = {A Novel Grid Corrosion Detection and Two-Dimensional Imaging Approach for a Grounding Substation},
  journal = {American Journal of Electrical and Computer Engineering},
  volume = {6},
  number = {2},
  pages = {61-67},
  doi = {10.11648/j.ajece.20220602.12},
  url = {https://doi.org/10.11648/j.ajece.20220602.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajece.20220602.12},
  abstract = {The grounding grid is one of the most important components of the power grid. However, the grounding grid is buried in the ground all year round, corrosion occurs commonly, which not only deteriorates the operation of the power system, but also could result in severe economic loss. The deterioration could be caused by the following reasons: the corrosion of metal conductors in the soil as time goes, the inevitable negligence or omission during construction (such as false welding, missing welding), and the electrodynamic effect of the ground current on the voltage equalizing conductor, etc. Since a well-performed grounding is essential for the security, cost-efficiency, and stability of the substation, the detection of grounding grid corrosion is necessary. In this paper, a new method for detecting the corrosion of the grounding grid is proposed. Specifically, this novel algorithm integrates the advantages of particle swarm optimization and least-squares method-particle swarm optimization. Also, it uses the least-squares algorithm for local tuning. We simulate three different corrosion situations – multiple branches, ring-shaped branches, and straight-lined branches. These simulation results show that our approach provides a very efficient and useful solution. More importantly, a real-world case study is implemented. The results of case study are consistent with the simulation results. Hence, this paper validates the effectiveness of the proposed algorithm on both simulation and experimental level.},
 year = {2022}
}

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