Study on SVPWM control method of active power filter based on adaptive parameters

被引：0

作者：

Zhu, Ninghui ^{[1
]}

Bai, Xiaomin ^{[1
]}

Dong, Weijie ^{[1
]}

Zhou, Ziguan ^{[2
]}

机构：

[1] China Electric Power Research Institute, Haidian District, Beijing 100192, China

[2] State Grid Electric Power Research Institute, Changping District, Beijing 102200, China

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2012年 / 32卷 / SUPPL.期

关键词：

Least squares approximations - Neurons - Active filters - Power control - Vector spaces - MATLAB - Seebeck effect - Voltage control - Pulse width modulation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Two common space vector pulse width modulation (SVPWM) control strategies of active power filter (APF) were compared. In these two control strategies, the parameters of reactor in series compensation circuit are used. The accuracy of reactor parameters has a certain impact on the compensation effect of the APF. To solve this problem, the SVPWM control strategy based on adaptive parameters was proposed in this paper. The reactor parameters can be identified by total least square (TLS). Combined with minor component analysis (MCA) linear neurons, the over-determined equation of TLS can be solved. Then, the amended reactor parameters are calculated in SVPWM. In order to verify the correctness of the adaptive TLS-SVPWM algorithm, some experimental and calculation are conducted respectively in Matlab simulation and test platform. Through measuring data and identifying the reactor parameters of compensation branch, the distortion factors of source current are compared when reactor parameters are amended or not. The simulation results and experimental data analysis showed the rationality of the SVPWM algorithm. © 2012 Chinese Society for Electrical Engineering.

引用

页码：188 / 193