摘要
提出了基于Mamdani型模糊推理的电压暂降源识别方法。分析了三种主要的电压暂降源(短路故障、变压器投切和感应电动机启动)引起的不同电压暂降现象,从三相电压是否平衡、暂降结束时是否产生突变以及暂降中伴随产生的谐波大小三个方面总结了不同暂降源的特征,并将其作为判据输入模糊推理系统,利用Mamdani型模糊推理技术对电压暂降干扰源进行了区分。Mamdani型模糊推理通过事先掌握的一组推理规则实现从输入到输出的推理计算,从而建立准确的辨识系统。通过仿真验证,该方法能够较好地对电压暂降源进行准确辨识。
A classification method of detecting the voltage sag sources based on Mamdani fuzzy inference was intro-duced in this paper. Three main sag reasons of short - faults, transformers energizing and large-capacity induction motor starting were analyzed. There are some different phenomena during the voltage sags caused by different sources. The characters of the balance of the three phases, the changing trend of the voltage when the sag ends and voltage harmonic ratio during the sag were considered to be the criteria of recognizing the different voltage sag sources by using Mamdani fuzzy inference. Mamdani fuzzy inference uses the rules which are already known to carry out the reasoning computations from input to output. The correction of this method was proved by some simulations taken in the paper.
出处
《华北电力大学学报（自然科学版）》
CAS
北大核心
2010年第2期43-48,共6页
Journal of North China Electric Power University：Natural Science Edition
