Research on probability estimation of critical threshold kernel density of icing tension for transmission lines with different tower types

Abstract

Tension sensor plays an important role in anti-icing work of transmission line, but in the process of back calculating ice thickness, it needs to accurately calculate important parameters such as vertical span, horizontal stress and vertical load, which leads to cumbersome work procedures. Therefore, in this paper, the wavelet decomposition algorithm is used to correct the tension value during non-icing period. The results show that the modified tension value can effectively improve the accuracy of icing thickness calculation by 28.88%; secondly, the pulling force values under the conditions of icing ratio of 0.3 and 0.5 are calculated. Finally, the kernel density function is used to give the thresholds of issuing ice melting warning and starting ice melting pulling force for the straight-line tower and tension tower lines. The conclusion of this paper is simple and accurate.