摘要
成功地将人工神经网络（ＡＮＮ）引入到电力系统自适应重合闸的应用中，基于微机保护软件设计中故障处理程序中的故障选相模块和故障类型判别模块，对系统发生发展性故障情况下自适应重合闸的合闸相序判别作了仿真计算及网络训练。结果证明，这对提高电力系统的稳定度和加快保护软件的运行速度都是大有好处的。
The ANN has been successfully applied in adoptive re close of electric power system.Based on the fault phase selection module and fault type determination module in fault processing procedure of microcomputer protection software design,the simulation calculation and network training have been done for the determination of re close phase in adoptive re close when system developing fault occurs.It is useful for increasing both system stability and protection software operation speed.
出处
《电力自动化设备》
EI
CSCD
1999年第2期18-20,共3页
Electric Power Automation Equipment
