基于HHT的煤矿电网扰动起止时刻检测方法  

Detection Method of Starting and Ending Time of Coal Mine Grid Disturbance Based on HHT

作　　者：万本强 吴中伟 石莹[2] 

机构地区：[1]上海大屯能源股份有限责任公司姚桥煤矿,江苏徐州221611 [2]中国矿业大学成人教育学院,江苏徐州221008

出　　处：《工矿自动化》2012年第6期62-67,共6页Journal Of Mine Automation

摘　　要：针对煤矿电网电能质量扰动复杂、采用小波分析技术解决扰动暂态过程存在小波基选择的问题,提出了一种基于HHT的扰动起止时刻检测方法。该方法以电压缺口为例,在30dB和40dB噪声环境下,首先采用EMD算法对电压缺口信号进行分解,得到IMF1分量、IMF2分量、IMF3分量和剩余分量R;然后对含有高频部分的信号即原始信号、IMF1分量、IMF2分量进行Hilbert变换,得出通过瞬时幅值曲线中突变点位置可以检测扰动起止时刻的结论;通过对比原始信号、IMF1分量、IMF2分量的扰动起止时刻检测值,最后选用了误差最小的IMF1分量的瞬时幅值进行扰动起止时刻检测。实验结果表明,该方法精度高、抗噪声能力强。In view of problems of complicated disturbance of power quality of coal mine grid and selection of wavelet base when using wavelet analysis technology to solve transient process of disturbance, the paper proposed a detection method of starting and ending time of disturbance based on HHT. The method takes voltage sag as example, firstly uses EMD algorithm to decompose the voltage sag signal to obtain IMF1 component, IMF2 component, IMF3 component and surplus component R under noise environment of 30 dB and 40 dB; then makes Hilbert transform for signals including high-frequency part namely original signal, IMF1 component and IMF2 component and gains a conclusion that starting and ending time of disturbance can be detected by position of catastrophe point on instantaneous amplitude curve; finally selects instantaneous amplitude of IMF1 component with the minimum error to detect starting and ending time of disturbance through comparing detection values of starting and ending time of disturbance of original signal, IMF1 component and IMF2 component. The experiment result showed that the method has high precision and strong anti-noise ability.

关 键 词：煤矿电网 电能质量 扰动起止时刻检测 HHT HILBERT变换 EMD算法 IMF分量 

分 类 号：TD608[矿业工程—矿山机电]