Risk Assessment for Power Grid during Magnetic Storm Using BP Artificial Network
WANG Shengyuan
WANG Ying
LIU Lianguang
LIU Ping
Abstract：Using the error back propagation(BP) artificial neural network ,combining the analysis on risk factors for power grid during magnetic storm ,the evaluation index and model of grid's risk degree during magnetic storm disaster is es‐tablished .The data of Shandong 500kV power grid for training and testing the network is used to show that different sites'different risk levels of the grid are also in line with the actual situation of the sites .
Keywords：magnetic stormartificial neural networkrisk assessment
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2223-2226,2250 )