基于改进Fast-ICA的电力谐波检测算法  

Improved Fast-ICA based harmonic detection algorithm

作　　者：郭松林[1] 刘富凯[1] 

机构地区：[1]黑龙江科技学院电气与信息工程学院,黑龙江哈尔滨150027

出　　处：《电力科学与技术学报》2013年第2期52-57,共6页Journal of Electric Power Science And Technology

基　　金：黑龙江省教育厅科研基金(11511340);黑龙江科技学院引进高层次人才启动基金(07-20)

摘　　要：为了提高Fast-ICA算法对电力谐波的检测速度与精度,在原有Fast-ICA盲源分离算法的检测原理上,对用于数据处理的二阶牛顿迭代法进行改进,使其满足三阶收敛,并给出收敛性证明。通过计算机仿真,在采样频率为7 500Hz、采样点为920的实验条件下,利用该改进算法和原有算法分别对两组含谐波混合信号进行检测。仿真结果表明,改进算法的测量速度平均提高了37%,精确度也得到了较大提高。In order to increase the detection speed and accuracy of Fast-ICA algorithm on harmon- ic,the original Fast-ICA blind source separation algorithm has been improved, so that iterations are reduced, and the convergence rate of the algorithm is raised, as well as the mathematical jus- tification and simulation study are conducted. The testing results show that the algorithm aver- age speed is increased by 37% for the simple harmonic mixed signal and approximate the harmon- ic wave in the power grid signal detection with sampling frequency 7 500 Hz, 920 samplingpoints.

关 键 词：盲源分离 Fast-ICA 电力谐波 

分 类 号：TM935.24[电气工程—电力电子与电力传动]