Research on a method for determining the reference values of icing tension on overhead transmission lines

Icing tension monitoring technology is widely used for online monitoring of transmission lines in China. However， due to environmental factors such as rain， snow， and strong winds， improper setting of reference values for icing tension can lead to false alarms in actual operation. To address this issue， an icing tension database was established by collecting long-term data from icing tension monitoring devices and micro-meteorological data over the years. A correlation analysis between tension data and micro-meteorological data was conducted， revealing a strong correlation between tension data and factors such as temperature， humidity， and air pressure. Based on these findings， a method for determining the reference values of icing tension based on a multiple linear regression model was proposed， and the icing tension model was validated using historical data. The validation results show that this method offers high stability and accuracy， providing a reference for data assessment and reliability analysis of icing tension monitoring devices across the province.