Improved two-vector-based model predictive current control method for grid-connected inverter with low loss

被引：0

作者：

Guo L. ^{[1
]}

Jin Y. ^{[2
]}

Luo K. ^{[3
]}

机构：

[1] School of Electric and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou

[2] State Grid Henan Electric Power Company Xuchang Power Supply Company, Xuchang

[3] State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute Co., Ltd., Beijing

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2019年 / 39卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Grid-connected inverter; Low harmonic content; Low loss; Low switching frequency; Model predictive control; Two-vector;

D O I：

10.16081/j.epae.201910012

中图分类号：

学科分类号：

摘要：

In order to solve the problem of the large harmonic content of the load current for traditional single-vector-based model predictive control and the high switching frequency and power loss for multi-vector-based model predictive control, an improved two-vector-based model predictive current control method for grid-connected inverter with low loss is proposed on the basis of the conventional two-vector-based model predictive current control method for grid-connected inverter. In this method, the reference voltage vector is calculated based on dead-beat-solution, based on which a voltage-vector-based cost function is designed. Through the optimization of voltage vector selection, the proposed method reduces the calculation amount of control algorithm, the harmonics of the load current, the switching frequency and power loss, and improves the operating efficiency of grid-connected inverter. The control performances of the conventional single-vector-based model predictive control method, the conventional two-vector-based model predictive control method and the proposed method are compared by simulation and experiment, which verifies the effectiveness of the proposed method. © 2019, Electric Power Automation Equipment Press. All right reserved.

引用

页码：136 / 142

页数：6

共 20 条

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