摘要
提出了一种利用径向基函数网络(RBFN)来实现神经网络式距离保护的方法,并应用于电力系统的距离保护,以故障类型判断子网络为例对网络进行训练和检验。结果表明,RBFN神经网络式距离保护具有很好的模式识别能力,而且训练时间大大减少,满足继电保护的要求。
This paper introduces the research of distance protection for transmission lines based on RBF neural network in detail,using all kinds of faults from electric protected lines.we conclude that RBFN can automatically realize pattern recognition and can reduce the training-time.A lot of simulating calculations have been done.The results of model test show their feasibility.
出处
《水利电力机械》
2006年第2期52-54,共3页
Water Conservancy & Electric Power Machinery
