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Research on State Perception Method of Electrical Equipment in Substation

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DOI: 10.23977/jaip.2020.040207 | Downloads: 9 | Views: 216


Fan Yang 1,2, Weidong Kang 1, Wei Hou 1, Hao Gu 1


1 Anhui Nanrui Jiyuan Power Grid Technology Co., Ltd. , China
2 Anhui Qisheng Intelligent Technology Co., Ltd. , China

Corresponding Author

Hao Gu


At present, the main online monitoring methods for converter stations are still traditional equipment online monitoring devices, which are mainly concentrated in converter transformers/station-use transformers, GIS equipment, cameras, etc. The reliability of the monitoring devices is not high, and the monitoring range Limited, the problem of insufficient sampling of equipment status features. This article proposes a new sensing technology research method for substation equipment, which integrates advanced technologies such as intelligent perception, artificial intelligence, big data, and three-dimensional inspections, which is suitable for converter transformers, station-use transformers, The state-sensing methods of electrical equipment such as step-up transformers and GIS equipment will be studied in detail, and a panoramic intelligent interconnected sensing system will be constructed to effectively improve the management efficiency and benefits of converter stations.


Online monitoring, State perception, Artificial intelligence, Edge iot agent


Fan Yang, Weidong Kang, Wei Hou, Hao Gu. Research on State Perception Method of Electrical Equipment in Substation. Journal of Artificial Intelligence Practice (2021) Vol. 4: 37-42. DOI:


[1] Li Peng, Bi Jiangang, Yu Hao, Xu Yuan. Intelligent sensing and state perception technology and application of substation equipment[J]. High Voltage Technology, 2020, 46(09): 3097-3113.
[2] Li Cong, Xu Mingkai, Pan Huichao, Fu Zhaoyuan, Xu Zhiyuan. Research on Substation State Perception System Based on Standardized IoT Smart Sensors[J]. Shandong Electric Power Technology, 2020, 47(07): 27-31.
[3] Huang Hong, Xiong Zhuo, Wang Yu, Lei Taoling, Wang Junqi. Research on multi-dimensional perception and intelligent diagnosis system of substation equipment status based on big data[J]. Electric Power Big Data, 2019, 22(10): 51 -57.
[4] Liu Yan. Research on the digital method of artificial inspection and perception information of power equipment status[D]. Huazhong University of Science and Technology, 2019.
[5] Xie Li, Zhu Jiang. The application of Internet of Things technology in power equipment state maintenance [J]. China New Telecommunications, 2016, 18(09): 48-50.
[6] Li Yuanfang, She Wei, Ye Yangdong, Sun Zhen, Li Jianglin, Shi Yi. State perception and trend analysis of power equipment based on hybrid system[J]. Computer Measurement and Control, 2013, 21(12): 3352 3355.
[7] Pu Tianjiao, Qiao Ji, Han Xiao, Zhang Guobin, Wang Xinying. Research and application of artificial intelligence technology in the operation and maintenance of power equipment[J]. High Voltage Technology. 2020(02)
[8] Yu H, Qian Z, Yao J, et al. Research of on-line monitoring equipment for power capacitor based on wireless sensor network[C]// Seventh International Symposium on Precision Mechanical Measurements. International Society for Optics and Photonics, 2016.
[9] Kim Y, Kweon D, Park T, et al. Classification of Fault and Failure Types Determined by Dissolved Gas Analysis for Transformers[J]. Journal of Electrical Engineering & Technology, 2019, 14(2).
[10] Mallikar-Godbole L, Kushare B E . Online condition monitoring of SF6 circuit breaker[C]//2016 10th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2016.

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