Research on Transmission Line Icing Prediction Technology Based on Improved BP Neural Network
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.
Short Term PredictionTransmission LinesMicro MeteorologyIcing ThicknessMind EvotionaryBP Neural Network
万方数据
维普
