Research on association matching analysis technology between power grid faults and meteorological disaster information

Mingyang Sun, Qibing Zhang, Yifang Li, Duo Shi, Shoukui Zhang

2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC)(2023)

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摘要
With the expansion of the power grid scale and the increasing complexity of the power grid structure, meteorological factors are increasingly important in the influence of the range and frequency of the power grid. This paper aims to study the association matching analysis technology of power grid faults and meteorological disaster information, in order to improve the prediction and response capabilities of power grid faults and meteorological disaster information. Firstly, the definition, characteristics, and impact of power grid faults and meteorological disasters were introduced, as well as existing relevant research results. Then, an indicator evaluation system for comprehensive monitoring, warning, and warning of the external operating environment of the power grid was constructed based on historical power grid faults and operational information. Finally, the association matching analysis technology was elaborated in detail, including data preprocessing, association rule analysis, fault model construction, and association accident plans pushing.
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关键词
power grid faults,meteorological disasters,association matching analysis,accident plans
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