基于人工神经网络谐波电流检测算法的电力有源滤波器

上海大学学报(自然科学版) ›› 2010, Vol. 16 ›› Issue (3): 323-326.

基于人工神经网络谐波电流检测算法的电力有源滤波器

李智华，刘振，吕振彬

（上海大学机电工程与自动化学院，上海 200072）

出版日期:2010-06-28 发布日期:2010-06-28
基金资助:
上海市重点学科建设资助项目（T0130）;上海大学创新基金资助项目（A.10010907022）

Harmonic Current Detection Algorithm for Active Power Filter Based on Artifical Neutral Networks

(School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China)

Online:2010-06-28 Published:2010-06-28

摘要/Abstract

摘要：

有源滤波器的有效性在很大程度上依赖于是否能得到真实反映欲补偿的谐波分量的参考信号,因此，有源滤波器设计的关键问题之一就是研究一种好的电流检测算法.在分析并联型有源电力滤波器的工作原理、系统结构的基础上，给出一种新的神经网络的电流检测控制算法，结合此算法设计了三相并联有源电力滤波器(shunt active power filter,SAF).Matlab仿真结果显示，谐波总畸变率(total harmonic distortion,THD)明显降低，与理论分析一致，证实了该方法的有效性.

关键词: 电力有源滤波器；人工神经网络；总畸变率

Abstract:

Effectiveness of active filter rely on the availability of a reference signal which reflects the armonic component to be compensated for. As a result, a key issue in the study of active ilter is to develop a good current etection algorithm. In view of this, we analyze the working principle and system structure of active power filter, propose a ew current detection algorithm using neural networks, and design a parallel three-hase active power filter. In the omputer simulation, the total harmonic distortion (THD) is low. The results are in agreement with the theoretical analysis,and therefore confirm validity and feasibility of the new algorithm.

Key words: active power filter (APF); artifical neutral networks (ANN); total harmonic distortion (THD)

中图分类号:

TP 273.22

李智华，刘振，吕振彬. 基于人工神经网络谐波电流检测算法的电力有源滤波器[J]. 上海大学学报(自然科学版), 2010, 16(3): 323-326.

LI Zhi-ua,LIU Zhen,Lv Zhen-in. Harmonic Current Detection Algorithm for Active Power Filter Based on Artifical Neutral Networks[J]. Journal of Shanghai University（Natural Science Edition）, 2010, 16(3): 323-326.