应用小波神经网络闭锁发电机失磁保护的研究

在发电机机端或主变高压侧发生短路以及振荡的情况下 ,发电机失磁保护都可能发生误动 ,因此在振荡与短路故障的情况下使失磁保护不误动是失磁保护所要解决的关键问题。基于小波变换和神经网络的优点 ,提出一种用小波神经网络来闭锁短路与振荡情况的方法。

Study of applying wavelet neural network to lock loss-of-excitation protection of generator

Under the condition of short-circuit and oscillation,on the generator terminal or the high voltage side of the main transformer mal-operation may occur in the loss-of-excitation protection of the generator. To avoid the mal-operation of the loss-of-excitation protection under oscillation and short-circuit faults is a key problem for loss-of-excitation protection. Based on the merits of wavelet transform and neural network, a new method to lock short-circuit and oscillation using wavelet neural network was put forward.