人工神经网络在自适应重合闸瞬时与永久故障判别中的应用

THE APPLICATION OF ANN IN THE DISTINCTION OF TRANSIENT AND PERMANENT FAULTS DURING ADAPATIVE AUTOARECLOSURE

本文论述了自适应重合闸的原理，探讨了利用神经网络实现自适应重合闸的可能性，结合超高压输电线进行仿真计算及数据训练，其结果表明：利用人工神经网络可以克服传统微机保护算法的复杂和费时等缺点，使微机保护智能化，是一个很有发展前途的研究方向．

This paper discribs the principle of adaptive autoreclosure and discusses the possibility of realising adaptive autoreclosure by using ANN.The simulation caculation and data training on the EHV transmission lines have been done.The results show that it can overcome the disadvantages such as complex and causing time of traditional microcomputer protective algorithms and make the protecters more intelligent.This is a very prospective research field.