Open Access Paper
15 January 2025 Intelligent research and judgment system for power grid outage fault based on abnormal signal situation perception
Buchao Wang, Liqing Shi, Zhimin Huang, Xinbo Guo
Author Affiliations +
Proceedings Volume 13513, The International Conference Optoelectronic Information and Optical Engineering (OIOE2024); 135131E (2025) https://doi.org/10.1117/12.3045521
Event: The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 2024, Wuhan, China
Abstract
With the rapid development of the social economy and the continuous improvement of living standards, the demand for load is growing rapidly. Medium and low voltage users, especially high-risk and important users, have increasingly high requirements for power supply reliability and reducing power outage time. When a power grid failure occurs and power outage occurs, it is crucial to promptly determine the fault location, minimize fault repair time, restore power supply, and reduce user power outage time, improve power supply reliability, and user satisfaction. This system is based on the enterprise level real-time measurement center to obtain the switch SOE signals actively reported by secondary monitoring devices such as concentrators, FTUs, DTUs, and fusion terminals. After signal cleaning and filtering, the system aggregates, classifies, analyzes, and determines the event of switch tripping or resetting. Then, it is associated and matched with a device network to generate power outage events for high and medium power lines in the power grid. The high-voltage lines are accessed through marketing data to determine the affected high-voltage and important users, and the number of transformers and low-voltage users is determined for medium voltage lines. The power outage scope is accurately determined, and corresponding fault power outage events and affected equipment are pushed in real time to support power outage monitoring, proactive repair, and other work.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Buchao Wang, Liqing Shi, Zhimin Huang, and Xinbo Guo "Intelligent research and judgment system for power grid outage fault based on abnormal signal situation perception", Proc. SPIE 13513, The International Conference Optoelectronic Information and Optical Engineering (OIOE2024), 135131E (15 January 2025); https://doi.org/10.1117/12.3045521
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KEYWORDS
Switches

Signal processing

Transformers

Analytical research

Power grids

Power supplies

Data conversion

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