For the long distance and wide coverage of transmission lines,its safe and stable operation is directly related to the op-eration state of the power grid,icing has become an important factor threatening the safe operation of transmission lines.From the perspective of ice thickness prediction,combining the idea of evolutionary algorithm and BP neural network algorithm,the short-term icing thickness of the transmission line is predicted.Based on the input vector of six micro meteorological factors,a short-term prediction model of transmission line icing thickness is established.The accuracy and stability of the model are verified by simulation.The results show that the method has high accuracy and stability.This study provides a certain reference for the devel-opment of transmission line icing prediction technology in China.
关键词
短期预测/输电线路/微气象/覆冰厚度/思维进化/BP神经网络
Key words
Short Term Prediction/Transmission Lines/Micro Meteorology/Icing Thickness/Mind Evotionary/BP Neural Network
维普
万方数据