基于改进Fast-ICA的电力谐波检测算法

Improved Fast-ICA based harmonic detection algorithm

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.