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27 October 2023 Research and implementation of abnormal outage behavior prediction and analysis system based on digital twinning technology
Junfeng Qiao, Lin Peng, Aihua Zhou, Zhujian Ou, Xiaoyi Xu, Fuyun Zhu
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Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 1292202 (2023) https://doi.org/10.1117/12.3008852
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China
Abstract
Electric power failure is the most common problem in power supply, and it is also one of the biggest problems for customers. From the perspective of power management, blackouts can be divided into fault blackouts and planned blackouts. There are three types of reasons for failure and power failure. One is overload of public transformer and special transformer, iron core grounding and lightning breakdown. The other is drop fuse failure and lack of equivalence for special transformer users. The last is power failure for residential users, line disconnection after meter, short circuit, leakage switch failure, etc. For planned outage, it is mainly caused by planned maintenance and repair according to the operation cycle of power line equipment. Among them, planned power outages are controllable, and the power management unit notifies the power customers in advance. However, the failure of power outages usually causes certain damage to the power customers, so it has certain harmfulness. In view of the above problems, this paper uses digital twinning technology to analyze the causes of failure and outage, and uses digital technology to carry out failure and outage prediction to reduce the losses caused by failure and outage.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Junfeng Qiao, Lin Peng, Aihua Zhou, Zhujian Ou, Xiaoyi Xu, and Fuyun Zhu "Research and implementation of abnormal outage behavior prediction and analysis system based on digital twinning technology", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 1292202 (27 October 2023); https://doi.org/10.1117/12.3008852
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KEYWORDS
Data modeling
Power grids
Analytical research
Power consumption
Statistical modeling
Failure analysis
Modeling
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