Method and system for predicting environmental meteorological data of power transmission line

Abstract

The invention discloses a method and a system for predicting environmental meteorological data of a power transmission line. The invention relates to the technical field of meteorological model prediction. The technical problems that a traditional weather prediction method is poor in anti-noise capability and prone to data interference are solved. The method comprises steps of collecting environmental meteorological data of a power transmission line and weather forecast data of corresponding time; dividing the data into a training set and a test set; putting the training set into a TCN model combined with a weighted channel for training to obtain a weather prediction model; and then testing the meteorological prediction model by using the test set so as to adjust the hyper-parameter thetaof the meteorological prediction model, and then repeating model training until the meteorological prediction model converges or reaches the maximum number of iterations to obtain a final prediction model. The final prediction model obtained through the method is high in anti-noise capacity and not prone to being interfered by abnormal data, and finally obtained prediction data are more accurate compared with an existing model.

Description

technical field [0001] The present disclosure relates to the technical field of meteorological prediction models, in particular to a method and system for predicting environmental meteorological data of transmission lines. Background technique [0002] With global warming and abnormal circulation, extreme weather has become more frequent. In recent years, ice disasters in southern my country have caused large-scale collapse of towers, damage to towers, broken lines, and insulators falling off in large areas, resulting in large-scale and long-term power outages. , seriously affecting normal production and life, and bringing a heavy burden of power grid restoration. Weather prediction plays a very important role in power system planning, disaster prevention and mitigation, real-time monitoring and many other fields. For example, the output power of photovoltaic power generation system depends largely on the amount of solar radiation that photovoltaic panels can receive. The am...

AI Technical Summary

Problems solved by technology

However, due to the complexity and difficulty of the meteorological prediction problem itself, especially for the application scenarios where the accuracy of the environmental meteorological prediction of the transmission line is high, once a misjudgment may aff...

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