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In the context of climate change, power transmission and transformation equipment are experiencing increasingly severe weather disasters. Therefore, the theory and technology related to meteorological disaster warning and risk prevention have become important technologies for power system transmission equipment inspection operations. A regional grid security early warning mechanism affected by extreme meteorological conditions in the paper is established. Considering the meteorological elements that have an impact on grid security, a big data network failure probability model of meteorological elements is build. Taking the load reduction rate as the dominant consequence index, and taking the transmission line overload condition and the bus voltage deviation as the hidden consequence indicators, the failure probability and the fault impact are combined to evaluate the risk of failure under a certain meteorological condition. An early warning strategy, which includes the issuance of warning levels, warning time and warning areas, was established based on the degree of risk. Keywords-Meteorological Big Data; Electric Power Emergency Warning Mechanism; Network Failure Probability Model

Research on Electric Power Emergency Warning Mechanism Based on Meteorological Big Data