Model Predictive Control for AC/DC Energy Management of a Modular Multilevel Converter Operated in Grid-Forming Mode

被引：0

作者：

Mourouvin, Rayane ^{[1
,2
]}

Dai, Jing ^{[1
,3
,4
]}

Boersma, Sjoerd ^{[1
]}

Bacha, Seddik ^{[1
,5
]}

Georges, Didier ^{[1
,2
]}

Benchaib, Abdelkrim ^{[1
]}

机构：

[1] Supergrid Inst SAS, 23 Rue Cyprian, F-69100 Villeurbanne, France

[2] Univ Grenoble Alpes, CNRS, Grenoble INP, GIPSA Lab, F-38000 Grenoble, France

[3] Univ Paris Saclay, Cent Supelec, Lab Genie Elect & Elect Paris, CNRS, F-91192 Gif Sur Yvette, France

[4] Sorbonne Univ, Lab Genie Elect & Elect Paris, CNRS, F-75252 Paris, France

[5] Univ Grenoble Alpes, G2Elab, Grenoble INP, CNRS, F-38000 Grenoble, France

来源：

2021 EUROPEAN CONTROL CONFERENCE (ECC) | 2021年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an optimization problem is formulated and a complete control solution is proposed that uses the Model Predictive Control (MPC) for AC/DC energy management of a Modular Multilevel Converter (MMC) controlled in grid-forming mode. For the implementation of the MPC, a relevant model of the grid is found by system identification. The identified model is then validated before its usage in the MPC. The simulation results show a better response to disturbances from AC grid and DC grid, as well as a better coordination in the management of the MMC internal energy and DC grid voltage compared to the commonly used dual PI structure.

引用

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页码：2110 / 2115

页数：6

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