Review on Artificial Intelligence in Substation Operation and Maintenance Management

被引：0
作者：
Wang L. [1 ]
Zhou Z. [1 ]
Lin L. [2 ]
Han J. [1 ]
机构：
[1] State Grid Zhejiang Electric Power Co., Ltd., Research Institute, Hangzhou
[2] Global Energy Interconnection Research Institute Co., Ltd., Beijing
来源：
Gaodianya Jishu/High Voltage Engineering | 2020年 / 46卷 / 01期
关键词：
Artificial intelligence; Condition monitoring; Intelligent perception; Operation and maintenance management; Substation; Video monitoring;
D O I：
10.13336/j.1003-6520.hve.20191227001
中图分类号：
学科分类号：
摘要：
The operation and maintenance management of substation is one of the typical application scenarios of artificial intelligence in energy and power system. The artificial intelligence technology, mainly represented by expert system, traditional machine learning, and deep learning, is significant in promoting the development of substation intelligence. Firstly, we summarized the development status and characteristics, challenges, development trends and hot spots of artificial intelligence technology. Then, in combination with the advanced functional requirements of two major information systems in the substation, namely, the remote monitoring system based on sensors and the remote viewing system based on cameras, we analyzed the progress of artificial intelligence technology in typical scenarios such as assessment and diagnosis of major electrical equipment status, intelligent perception of substation security environment, and detection and discrimination of personnel behavior. Meanwhile, we pointed out the problems existing in the current application of artificial intelligence technology in the above-mentioned typical scenarios of substations. Finally, we put forward several suggestions on the key breakthrough areas in the future application of artificial intelligence technology to vital equipment state awareness and 3D panoramic visualization of substations. © 2020, High Voltage Engineering Editorial Department of CEPRI. All right reserved.
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页码：1 / 13
页数：12
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