The Intelligent Early Warning System For The Gale-Induced Transmission Tower Fault Probability

Gale is one of the important reasons causing transmission tower collapse. Therefore, precisely prediction and early warning of the gale which may cause the transmission tower fall down can decrease the loss to power grid at utmost. In this paper, non-linear stepwise regression (NLSR) method is used to forecast gale in the power grid. To avoid the single statistical method errors, the back-propagation (BP) artificial neural network is used to optimize the results intelligently. Further, we consider the gale-induced tower failure rate, and couple it to the forecast model. Finally, we establish an intelligent gale-induced transmission tower fault warning system to predict the probability of accident. The simulated result shows that the accuracy of the model in predicting gale-induced transmissions tower fault probability is good.