基于模糊神经网络的自适应单相自动重合闸

自动重合闸作为保证电力系统输电线路的安全运行,提高电力系统供电可靠性的自动装置,发挥了极其重要的作用,因而被广泛地应用在目前的输电线路上。但是现在的自动重合闸装置不具备判别瞬时还是永久故障的能力,当重合于永久故障时,会对系统造成严重的危害。该文主要引入模糊神经网络,对单相接地故障进行研究,实现单相自动重合闸的自适应性,即重合闸能自适应地判别故障的瞬时性与永久性。

Adapative autoreclosure of single phase based on FNN

Autoreclosure is a piece of very important equipment that guarantee security operation of power line and improve reliability of power supply, so the autoreclosure is widely applied in transmission line. However, autoreclosure has not the ability to distinguish instantaneous faults and permanent faults presently, When autoreclosure recloses on permanent faults, there will be a severe harm to power system. The paper mainly research single-phase adaptive autoreclosure based on FNN, namely autoreclosure can distinguish instantaneous faults and permanent faults.