Numerical simulation of temperature distribution and contact temperature prediction of high-voltage switchgear

The temperature distribution of high-voltage switchgear is an important representation of the operating status of the equipment. This article builds a three-dimensional magnetic-thermal-flow coupling model of the 110 kV switch cabinet to study the influence of the key factor load current on the temperature of the high-voltage switch cabinet. At the same time, in order to ensure the reliability of the equipment, a temperature prediction model using Rime Optimization Algorithm (RIME) to optimize CNN-BiLSTM was constructed, and hyperparameters suitable for the CNN-BiLSTM model were obtained. Applying this article to actual collected data, the RMSE, MAPE, and MAE are 0.263,0.605, and 0.201 respectively. The experimental results show that this article has certain advantages.