摘要
利用单偶极子电磁场和输电线路周围电磁场的理论对输电线路感应雷电磁暂态特征进行计算分析,结合现场实际情况,以220 kV输电线路为例对感应雷电流波形进行仿真,得到感应雷和直击雷的辨识方法,并在此基础上提出利用人工智能神经网络方法来构建输电线路感应雷与直击雷辨识系统。
Electromagnetic transient characteristics of induction lightning on transmission lines are calculated and analyzed in accordance to theory of single-dipole electromagnetic field and electromagnetic field around transmission lines. In combina- tion with field situation, the 220 kV transmission line is taken as an example to simulate current wave of induction lightning, hence the identification method for induction lightning and direct lightning flash is gained, on the basis of which it is proposed to build identification system through artificial intelligent neural networks.
出处
《广东电力》
2012年第2期50-56,共7页
Guangdong Electric Power
关键词
感应雷
直击雷
电磁暂态特征
人工智能神经网络
induction lightning
direct lightning flash
electromagnetic transient characteristics
artificial intelligent neuralnetwork
