基于门控循环注意力网络的配电网故障识别方法

陈昊蓝, 靳冰莹, 刘亚东, 钱庆林, 王鹏, 陈艳霞, 于希娟, 严英杰

Fault Detection in Power Distribution Systems Based on Gated Recurrent Attention Network

CHEN Haolan, JIN Bingying, LIU Yadong, QIAN Qinglin, WANG Peng, CHEN Yanxia, YU Xijuan, YAN Yingjie

表1 不同模型F1分数对比

Tab.1 Comparison of F1 score of different models

模型 仿真类别 平均值 1 2 3 GRU 0.902 0.941 0.887 0.910 SVM 0.810 0.841 0.815 0.822 GBDT 0.832 0.869 0.844 0.848 CNN 0.871 0.890 0.867 0.876 模型 实验类别 平均值 1 2 3 4 GRU 0.862 0.871 0.854 0.831 0.855 SVM 0.720 0.704 0.731 0.719 0.719 GBDT 0.762 0.774 0.785 0.747 0.767 CNN 0.790 0.807 0.820 0.787 0.801