【摘要】 利用误差反向传播(BP)人工神经网络,结合对电网磁暴灾害危险性影响因素的分析,建立了电网磁暴灾害风险程度评估指标和评价模型。利用山东500kV电网的资料参数对网络进行了训练和性能检验,验证了模型和方法的有效性,该方法计算结果能反映电网不同站点的风险等级差别,且符合各站点的实际情况,具有一定的客观性。更多还原

【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 established.The data of Shandong 500 kV 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.更多还原