Transmission lines are an important part of the power system and the main artery for the transmission of electrical energy. The safe operation of overhead lines is critical to the safe and stable operation of the entire power grid. This paper takes the main body of the transmission conductor as the main research object. According to the line load calculation theory, risk assessment theory and fuzzy prediction theory, first establish a transmission line risk assessment model that takes into account the influence of temperature changes under weather forecast, and then uses the GA optimized TS-FNN The prediction of the sag of the transmission line has verified the feasibility and accuracy of the proposed theory and method through simulation analysis.

A transmission line fault rate correction method for meteorological risk sources is proposed in this paper. Firstly, a complex weather risk source model considering lightning, rainfall, wind, temperature, relative humidity and other meteorological factors is established by introducing the overrun penalty variable weight entropy theory, and the corresponding comprehensive meteorological factors are calculated by using the model; Then, based on the electrical equipment health index model, a transmission line fault rate correction method based on meteorological risk sources is designed. Finally, the effectiveness of the method is verified by simulation experiments.