摘要
如何准确地检测出故障线路一直是电力系统继电保护的重要研究课题。该文将遗传优化神经网络应用到故障选线中,并将多种电气量综合,进行故障选线。相比于以往的判别方法,提高了故障选线的准确性。
How to detect the fault line quickly and accurately is an important issue in electric power system protective relaying. In this paper, with the use of artificial neutral network optimized by genetic algorithm and combination of all kinds of fault information,the veracity of the fault line selection could be greatly improved in power system with indirectly earthed neutral.
出处
《继电器》
CSCD
北大核心
2004年第5期29-31,共3页
Relay
