CAJ | 학술논문

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。
이용오차반향전파（BP）인공신경망락，결합대전망자폭재해위험성영향인소적분석，건립료전망자폭재해풍험정도평고지표화평개모형。이용산동500kV전망적자료삼수대망락진행료훈련화성능검험，험증료모형화방법적유효성，해방법계산결과능반영전망불동참점적풍험등급차별，차부합각참점적실제정황，구유일정적객관성。
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 .