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| Advances of Atmospheric Corrosion On-line Monitoring Techniques for Electric Power Grid |
| Received:November 01, 2019 Revised:December 22, 2019 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2020.04.005 |
| KeyWord:high-voltage power grid electrical equipment atmospheric corrosion on-line monitoring |
| Author | Institution |
| YU Jin-shan |
Electrical Power Research Institute of Tianjin Electric Power Company SGCC, Tianjin , China |
| WAN Shan |
Hubei Key Laboratory of Material Chemistry and Service Failure, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan , China |
| ZHAO Peng |
Electrical Power Research Institute of Tianjin Electric Power Company SGCC, Tianjin , China |
| MIAO Chun-hui |
Electrical Power Research Institute of Anhui Electric Power Company SGCC, Hefei , China |
| CHEN Guo-hong |
Electrical Power Research Institute of Anhui Electric Power Company SGCC, Hefei , China |
| DONG Ze-hua |
Hubei Key Laboratory of Material Chemistry and Service Failure, School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology, Wuhan , China |
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| Abstract: |
| The work aims to study several typical several atmospheric corrosion monitoring techniques for the atmospheric corrosion of transmission equipment in high-voltage power grid. Based on literature analysis, the advances in on-line monitoring techniques were discussed, such as galvanic corrosion cell (GCC), electrochemical impedance spectroscopy (EIS), thin electric resistance probe (TER), quartz crystal microbalance (QCM) and AC inductance. Moreover, the advantages and disadvantages of various monitoring equipment for electrical equipment were compared and analyzed.Thin ER and AC inductance can realize the promising on-line corrosion monitoring of high-voltage power transmission towers and overhead lines as well as transformers. The automatic on-line atmospheric corrosion monitoring for power transmission equipment can provide important basis for equipment safety and can also provide reference for fault diagnosis and life assessment combined with big data analysis. |
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