Research on transmission line trip prediction based on logistic regression algorithm under icing condition

The number of transmission line trip accidents caused by icing is increasing year by year. In order to ensure the safety of power grid and reduce the equipment damage caused by icing, this paper studies the prediction of transmission line trip probability under icing condition, and proposes a prediction model of icing trip based on logistic regression algorithm, which mainly includes feature extraction, model construction and prediction test. Firstly, the data mining method is used to preprocess the data and obtain the effective data as the input features of the model. Then, the logistic algorithm is used to build the prediction model to realize the transmission line icing trip prediction, which provides reference information for the actual line safety operation and maintenance.