Prediction Method of Icing Galloping of Overhead Transmission Line Based on Multi-Information Fusion

Abstract

Aiming at the problem that the degree of icing of transmission lines in cold regions is difficult to predict, a method for predicting icing galloping of overhead transmission lines based on multi-information fusion is proposed. Through the mechanical structure model of the transmission tower established using Design Modeler, and the stress analysis performed using ANSYS Workbench, calculate the displacement of the characteristic point and the change of the inclination angle when the transmission line tower is covered with ice and gallops, and then classify and predict according to the information above. When the line is running, the real-time meteorological data during icing is collected through the sensor information of the tower body, and a nonlinear four-class SVM is constructed to predict and classify the icing situation. The verification results show that the prediction accuracy of this method is high, which is convenient for promotion.