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

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), 2022. Published by Science Publishing Group

Keywords

Grounding Substation, Grid Corrosion, Corrosion Detection, Corrosion Simulation

References
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[3] Nasir, Tehreem, Syed Sabir Hussain Bukhari, Safdar Raza, Hafiz Mudassir Munir, Muhammad Abrar, Kamran Liaquat Bhatti, Jong-Suk Ro, and Rooha Masroor. "Recent challenges and methodologies in smart grid demand side management: State-of-the-art literature review." Mathematical Problems in Engineering 2021 (2021).
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[5] Y. Huang, L. Hu, L. Cao, and H. Xia. Research of Grounding Grid Fault diagnosis based on differential evolution algorithm. In Proceedings of the International Conference on Power System Technology (POWERCON 2014), Chengdu, China, 20–22 October 2014, pp: 1497–1502.
[6] Y. Shao, M. Mu, B. Zhang, K. Nie, and Q. Liao. Corrosion behavior of copper-clad steel bars with unclad two-end faces for grounding grids in the red clay soil. Journal of Materials Engineering and Performance, 2017, 26 (4), 1751-1757.
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[9] X. Zhang, C. Hao, L. Chen, Y. Feng, and L. Lei. Corrosion and Protection of Metal Equipment in West Inner Mongolian Power Grid. 2020 3rd International Conference on Electron Device and Mechanical Engineering (ICEDME), 2020, pp: 29-32.
[10] Meliani, Meryem, Abdellah El Barkany, Ikram El Abbassi, Abdel Moumen Darcherif, and Morad Mahmoudi. "Energy management in the smart grid: State-of-the-art and future trends." International Journal of Engineering Business Management 13 (2021): 18479790211032920.
[11] Pastor, Ricardo, Wei Yang, Nuno Pinho da Silva, Sara Rodrigues, Francisco Reis, and Xue Jinhua. "Improving grid security in the presence of a high penetration of RES through optimal planning and operation of distributed energy storage devices." In 2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), vol. 1, pp. 370-376. IEEE, 2020.
[12] Khezri, Rahmat, and Amin Mahmoudi. "Review on the state-of-the-art multi-objective optimisation of hybrid standalone/grid-connected energy systems." IET Generation, Transmission & Distribution 14, no. 20 (2020): 4285-4300.
[13] Bajaj, Mohit, and Amit Kumar Singh. "Grid integrated renewable DG systems: A review of power quality challenges and state-of-the-art mitigation techniques." International Journal of Energy Research 44, no. 1 (2020): 26-69.
[14] W. Chen, R. Bi, J. Wang, and H. Chen. Review of Grounding Grids Corrosion Diagnosis. International Journal of Computer and Electrical Engineering, Vol. 5, No. 3, June 2013, pp: 309-312.
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Cite This Article
  • 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
  • State Grid Gansu Electric Power Company, Lanzhou, China

  • State Grid Gansu Electric Power Company, Lanzhou, China

  • State Grid Gansu Electric Power Company Qiangyang Power Supply Company, Lanzhou, China

  • State Grid Gansu Electric Power Company, Lanzhou, China

  • State Grid Gansu Electric Power Company, Lanzhou, China

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