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 |
Grounding Substation, Grid Corrosion, Corrosion Detection, Corrosion Simulation
| [1] | Shadfar, Hamed, Mehrdad Ghorbani Pashakolaei, and Asghar Akbari Foroud. " Solid-state transformers: An overview of the concept, topology, and its applications in the smart grid." International Transactions on Electrical Energy Systems 31, no. 9 (2021): e12996. |
| [2] | Hasan, Md Nazmul, Rafia Nishat Toma, Abdullah-Al Nahid, MM Manjurul Islam, and Jong-Myon Kim. "Electricity theft detection in smart grid systems: A CNN-LSTM based approach." Energies 12, no. 17 (2019): 3310. |
| [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). |
| [4] | Bani-Ahmed, Abedalsalam, Adel Nasiri, and Igor Stamenkovic. "Foundational support systems of the smart grid: State of the art and future trends." International Journal of Smart Grid 2, no. 1 (2018): 1-12. |
| [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. |
| [7] | Sharma, Renu, and Sonali Goel. "Performance analysis of a 11.2 kWp roof top grid-connected PV system in Eastern India." Energy Reports 3 (2017): 76-84. |
| [8] | Abdullah, Ghoname, and Hidekazu Nishimura. "Techno-Economic Performance Analysis of a 40.1 kWp Grid-Connected Photovoltaic (GCPV) System after Eight Years of Energy Generation: A Case Study for Tochigi, Japan." Sustainability 13, no. 14 (2021): 7680. |
| [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. |
| [15] | W. Sima, X. Li, T. Yuan, and Q. Yang, “Measurement and analysis of grounding grid impulse characteristics in different soil structures,” High Voltage Technol. 2008 (07), pp: 1342–1346. |
| [16] | Z. Fu, X, Wang, Q. Wang, X. Xu, N. Fu, and S. Qin. Advances and Challenges of Corrosion and Topology Detection of Grounding Grid. Applied Sciences, 2019. |
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
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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Download@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}
}
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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