基于卡尔曼算法的有源电力滤波器谐波检测方法的研究

谐波电流检测技术是有源电力滤波器的关键技术之一,谐波电流检测的精度与速度直接影响有源电力滤波器的补偿精度及速度.常规的谐波电流检测方法速度慢、精度不高,提出采用基于卡尔曼算法的谐波电流检测方法,该方法是以最小均方误差为准则的最优线性估计,只包括矩阵的加、乘与求逆运算,因此,可实现快速、精确的实时检测,还通过仿真验证了该方法的有效性与实用性.

The Research on Harmonics Detection Method of Active Power Filter Based on Kalman Algorithm

Harmonic current detection is one of the key technologies of the active power filter(APF).The accuracy and velocity of harmonic current detection affect directly on the precision and speed of APF's compensation.The speed of the conventional method for harmonic current detection is slower and the accuracy is poor,so this paper proposes a harmonic current detection based on kalman algorithm.This method is an optimal linear estimate based on the least mean-square error criteria,which includes only plus,multiplication and inversion calculation of matrix,so the method can realize a quick,accurate and real-time detection.The simulation results verify the validity and practicability of this method in this paper.