Paper
25 April 2022 Automatic early warning method of distribution network operation state for emergency repair
Dong Wang, Xiaodong Wang, Yifeng Wang, Yu Zong
Author Affiliations +
Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 1224439 (2022) https://doi.org/10.1117/12.2635440
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China
Abstract
In order to understand the fault state of distribution network in time, a set of automatic early warning method for emergency repair of distribution network operation state is developed. By identifying and collecting the real-time operation status of the distribution network for emergency repair, identifying the allowable hidden dangers of the distribution network, positioning and early warning processing, and optimizing the early warning steps. Finally, the experiment shows that the automatic early warning method for the operation status of the distribution network for emergency repair has high accuracy and timeliness, and fully meets the research requirements.
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Dong Wang, Xiaodong Wang, Yifeng Wang, and Yu Zong "Automatic early warning method of distribution network operation state for emergency repair", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 1224439 (25 April 2022); https://doi.org/10.1117/12.2635440
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KEYWORDS
Data modeling

Reliability

Data fusion

Network architectures

Power supplies

Failure analysis

Sensors

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