Transmission Line Icing Grade Prediction Based On Meteorological Forecast Correction And Multi-feature Fusio

In recent years,with the rapid development of social economy,the demand for electric energy in the production of various enterprises and the daily life of residents has continuously increased.Many electric power enterprises are facing the problem of line icing during operation.Especially in complex mountainous areas,when meteorological factors such as temperature and humidity meet certain conditions,frozen ice crystals will adhere to the electric wire,causing uneven stress on the electric wire.In severe cases,it can cause the electric wire to break and cause the electric tower to collapse.This not only affects the normal operation of the power system,but also brings potential safety hazards to the surrounding environment.This article aims to improve the accuracy of transmission line icing thickness.Through studying the mechanism of transmission line icing thickness,including the formation conditions and growth process of icing,environmental parameters that affect icing,and other aspects,it deeply analyzes the reasons that affect the variation of icing thickness,summarizes the key scientific issues that need to be resolved at present,and finally combines in-depth learning methods from multiple factors,multiple dimensions A prediction model of transmission line icing thickness is established from three aspects of accuracy assurance.The main work of this article includes the following three parts:(1)Due to the complexity of the causes of the ice cover phenomenon and the strict requirements for changes in meteorological elements,which in turn are affected by the surrounding geographical environment.This article first expounds the importance of the accuracy of meteorological element prediction results on the ice thickness of transmission lines.Based on different geographical environments,using actual meteorological data,and using the gray correlation analysis method,the gray correlation coefficient between each element and the ice is obtained.According to the actual situation,meteorological elements with high correlation are selected to avoid interference from unrelated elements as much as possible.(2)This paper proposes a multi feature based meteorological element prediction and correction(MCWFC)model,which integrates meteorological and geographic information and uses an improved U-Net algorithm to correct meteorological forecast data,improving accuracy from the meteorological data source of ice cover thickness prediction.In the model experiment,in order to further verify the correction effect of the model,this paper compares the average absolute error of other traditional weather forecast correction models at the same time and location,and confirms that it can effectively improve the correction accuracy of meteorological element prediction.(3)This paper proposes an ice cover prediction model based on multiple feature factors(MCIF).This method extends the prediction point to the surrounding area into a twodimensional plane,fully taking into account the impact of the terrain and geomorphic characteristics of the transmission line’s surrounding area and meteorological factors on the ice covering,and ultimately predicts the ice covering thickness level of the transmission line in a classified manner.In addition,this paper compares the effectiveness of this model with other algorithms,verifying the effectiveness of the model,and conducts ablation analysis to verify the necessity of introducing certain features or related network structures.