摘要
针对含分布式电源的小电流接地系统中单相接地定位这一问题,提出了一种基于模糊神经网络的配电网故障定位方法:提取小波包能量熵极大值、五次谐波分量及阻抗分量作为综合定位判据,输入到模糊神经网络中,再通过调整网络隶属度函数的初始参数大小,将配电网自身的特点很好地嵌入该算法中。在Matlab环境下搭建10kV小电流接地系统仿真模型,仿真结果显示此方法具有定位准确率高、适应性强、灵敏度高、抗干扰能力强等优点,具有一定的工程应用价值。
Aiming at the problem of single-phase grounding fault location in small current grounding system with distributed generations,this paper presents a fault location method of power distribution network based on fuzzy neural network:extract the extreme of wavelet packet-energy entropy(WP-EE),the five time harmonic component and impedance component as judgments of location,and enter these data into fuzzy neural network.Through adjusting initial parameters of membership functions,the characteristics of power distribution network is perfectly integrated into the algorithms.At last,a 10 kV small current grounding system simulation model is set up by Matlab.Simulation results illustrate that this method has advantages of high location accuracy,strong adaptability,high sensitivity and anti-interference ability,and has certain engineering application value.
出处
《安徽电力》
2017年第2期30-32,共3页
Anhui Electric Power
关键词
分布式电源
小电流接地系统
配电网
单相接地
故障定位
模糊神经网络
distributed generation
small current grounding system
distribution network
single-phase grounding
fault location
fuzzy neural network
