应用模糊神经网络实现故障测距

Application of Fuzzy Nerval Network on Fault Location

提出一种应用模糊神经网络进行输电线路故障测距的新方法。该方法具有很强的自适应和抗干扰能力。通过有导师的学习，模糊神经网络将自学会对故障电量的分析计算，完成线路故障的测距。仿真结果表明，经充分训练的网络可快速准确地定位故障，不受故障类型、过渡电阻及系统运行方式的影响。

This paper presents a new method of transmission line fault location by applying fuzzy nerval network. With strong adaptability and anti interference, this method can accomplish fault spotting by fault energy analytical calculation through fuzzy nerval network self learning ability.