摘要
根据电力系统发生故障和振荡时母线处获得的信号的特点 ,提出了用模糊神经网络来识别电力系统振荡与故障的模型和算法。经 EMTP仿真表明 ,该方法能够很好地识别振荡与故障 ,而且计算和响应速度快。另外 ,系统正在振荡时又发生故障 ,本文提出的模糊神经网络的模型及算法也能正确区分出故障。缺点是需要经过大量的训练 ,但是由于是离线训练 。
According to the characteristic of the signal from the bus when fault and oscillation occur,the paper proposes the model and algorithm of the fuzzy neural network that is used to distinguish the fault and the oscillation.The EMTP Simulation shows that this method can identify the fault and oscillation correctly and the calculation and its response is very quick.In addition,when oscillation occurs in the power system,the fuzzy neural network proposed in this paper can detect the fault correctly.The drawback of the scheme is that it needs a great amount of training.However the training is off line,which does not affect the application of the scheme on the power system on line.
出处
《电力系统及其自动化学报》
CSCD
2001年第3期50-53,共4页
Proceedings of the CSU-EPSA
基金
中华电力基金会许继奖教金的资助
关键词
电力系统
故障
振荡
模糊神经网络
Fault detection, Oscillation, Fuzzy control Neural network
