Multirate Repetitive Control Strategy for Grid-connected Inverter with LCL Filter

YANG Xingwu; CHEN Lei; NIU Mengjiao

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Multirate Repetitive Control Strategy for Grid-connected Inverter with LCL Filter

更新时间：2025-12-08

- Multirate Repetitive Control Strategy for Grid-connected Inverter with LCL Filter
- Vol. 44, Issue 10, Pages: 3231-3240(2018)
- 作者机构：
  
  上海电力学院绿色能源并网工程技术研究中心
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：31 October 2018，
  
  Published：2018
- 稿件说明：
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YANG Xingwu, CHEN Lei, NIU Mengjiao. Multirate Repetitive Control Strategy for Grid-connected Inverter with LCL Filter[J]. 2018, 44(10): 3231-3240.
DOI：

YANG Xingwu, CHEN Lei, NIU Mengjiao. Multirate Repetitive Control Strategy for Grid-connected Inverter with LCL Filter[J]. 2018, 44(10): 3231-3240. DOI：

摘要

为减少逆变器输出的谐波和降低数字控制器的计算负担及内存消耗

提出一种应用于LCL滤波并网逆变器的多速率重复控制（MRC）策略

包含高采样速率的并网电流反馈控制和低采样速率的重复控制两个环节。通过对系统的稳定性分析

动态、稳态性能分析

与传统单采样速率重复控制（SRC）相比

MRC系统可保持良好的动态、稳态性能

且稳定裕度得到提高。仿真和实验结果显示

当电网电压畸变率4.6%

将采样因子设为2

MRC控制器的运算效率提高

系统动态性能良好

逆变器输出电流的畸变率保持在1.5%以内

从而验证了理论分析的正确性、所提控制策略的有效性和可行性。

Abstract

In order to decrease the harmonics caused by inverter and reduce the computational burden and memory consumption of digital controller

we proposed a multispeed repetitive control（MRC） strategy for grid-connected inverter with LCL filter

which consists of grid current feedback control with a high sampling rate and repetitive control with reduced sampling rate. Through analyzing the stability of system as well as the dynamic and steady-state performances

we conclude that MRC system can maintain good dynamic and steady-state performances while the stability margin is enhanced

compared with conventional single sampling-rate repetitive control（SRC）. Simulation and experimental results show that the operation efficiency of MRC controller is improved

the system has good dynamic performance

and the distortion of output current can be kept within 1.5%. The results are obtained under the condition that the distortion of grid voltage is 4.6% and sampling factor is set to 2

which verify the correctness of theoretical analysis

effectiveness and feasibility of the proposed control strategy.

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