基于平滑经验模式分解算法的谐波检测新方法  

A New Method of Harmonic Detection Based on the SEMDAlgorithm

作　　者：吴衍 马碧芳 李立耀 陈国钦 WU Yan;MA Bifang;LI Liyao;CHEN Guoqin(Fuqing Branch of Fujian Normal University,Fuqing, Fujian 350300)

机构地区：[1]福建师范大学福清分校电子与信息工程学院,福建福清350300

出　　处：《福建师大福清分校学报》2017年第5期52-56,共5页Journal of Fuqing Branch of Fujian Normal University

基　　金：福建省教育厅中青年教师教育科研项目(编号:JAT160570)

摘　　要：提出了基于平滑经验模式分解(SEMD)算法的谐波电流检测法。该方法将电流信号分解成内在模式函数(IMF),创新地在迭代筛分过程中加入平滑处理,不仅使算法不再依赖三次样条插值法,而且提高算法的平滑性。使用新方法设计谐波检测电路,并进行基于三次样条插值法和线性函数的对比仿真实验,结果表明:基于两种拟合极值法,SEMD算法都可以精确地分解出电流信号的谐波和基波分量,摆脱了对三次样条插值法的依赖,而且分解出来的基波分量与原信号相关系数(CORR)分别为0.996和0.995,相对均方根误差(RRMSE)分别只有0.00532和0.00557,说明该法能够准确有效地分解谐波电流信号,同时端点效应得到很好的抑制,满足有源电力滤波器(APF)对电力系统谐波电流准确、快速检测的需要。A new method of harmonic detection based on smoothing empirical mode decomposition(SEMD)algorithm was proposed.The method decomposes the signal into the intrinsic mode functions(IMFs),with the added smoothing procedure innovatively which is not only independent from Cubic Spline,but also improvesin the smoothness.The harmonic detection circuit is designed by using the new method,and the contrast simulation experiments based on Cubic Spline and Straight Line indicate that the method based on the two spline fitting can detect harmonic current effectively and accurately and dispense with Cubic Spline.The correlation co-efficiency(CORR)of the fundamental component and the original signal are0.996and0.995respectively,the relative root mean square error(RRMSE)are only0.00532and0.00557respectively.This algorithm can accurately and effectively decompose harmonic current signals,and the end effect is well suppressed,which meets the need of accurate and fast detection of harmonic currents in active power filter(APF).

关 键 词：SEMD算法 谐波检测法 有源电力滤波器(APF) 电力系统 

分 类 号：TM835.4[电气工程—高电压与绝缘技术]