Three-level microgrid inverter optimization algorithm based on model prediction control

Xuemei Zheng; Hao Li; Xin Chen; Zhu Min

doi:10.1109/IECON49645.2022.9968941

Three-level microgrid inverter optimization algorithm based on model prediction control

Xuemei Zheng
, Hao Li
, Xin Chen
, Zhu Min

School of Electrical Engineering and Automation

Economic and Technological Research
Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Most microgrid (MG) inverters are based on the voltage and current double loop control structure of PI to achieve control objectives, but the controller parameter setting is complex and the dynamic response speed is slow. In this paper, the predictive model control (MPC) is used to replace the traditional voltage and current double loop modulation for T-type three-level inverter to improve the dynamic response speed and parameter setting. At the same time, aiming at the complexity of online calculation of MPC algorithm of T-type three-level inverter, an optimized algorithm is proposed and the redundant vectors are eliminated in advance, the speed of MPC is increased and improve the total harmonic distortion (THD) of MG inverter output waveform.

Original language	English
Title of host publication	IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665480253
DOIs	https://doi.org/10.1109/IECON49645.2022.9968941
State	Published - 2022
Event	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium Duration: 17 Oct 2022 → 20 Oct 2022

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2022-October
ISSN (Print)	2162-4704
ISSN (Electronic)	2577-1647

Conference

Conference	48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/Territory	Belgium
City	Brussels
Period	17/10/22 → 20/10/22

Keywords

fast search algorithm
microgrid
model prediction control
three-level inverter

Access to Document

10.1109/IECON49645.2022.9968941

Cite this

@inproceedings{6b01cf07dbc0477ba3df6526a45ef713,

title = "Three-level microgrid inverter optimization algorithm based on model prediction control",

abstract = "Most microgrid (MG) inverters are based on the voltage and current double loop control structure of PI to achieve control objectives, but the controller parameter setting is complex and the dynamic response speed is slow. In this paper, the predictive model control (MPC) is used to replace the traditional voltage and current double loop modulation for T-type three-level inverter to improve the dynamic response speed and parameter setting. At the same time, aiming at the complexity of online calculation of MPC algorithm of T-type three-level inverter, an optimized algorithm is proposed and the redundant vectors are eliminated in advance, the speed of MPC is increased and improve the total harmonic distortion (THD) of MG inverter output waveform.",

keywords = "fast search algorithm, microgrid, model prediction control, three-level inverter",

author = "Xuemei Zheng and Hao Li and Xin Chen and Zhu Min",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 ; Conference date: 17-10-2022 Through 20-10-2022",

year = "2022",

doi = "10.1109/IECON49645.2022.9968941",

language = "英语",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

booktitle = "IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society",

address = "美国",

}

Zheng, X, Li, H, Chen, X & Min, Z 2022, Three-level microgrid inverter optimization algorithm based on model prediction control. in IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), vol. 2022-October, IEEE Computer Society, 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022, Brussels, Belgium, 17/10/22. https://doi.org/10.1109/IECON49645.2022.9968941

Three-level microgrid inverter optimization algorithm based on model prediction control. / Zheng, Xuemei; Li, Hao; Chen, Xin et al.
IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2022. (IECON Proceedings (Industrial Electronics Conference); Vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Three-level microgrid inverter optimization algorithm based on model prediction control

AU - Zheng, Xuemei

AU - Li, Hao

AU - Chen, Xin

AU - Min, Zhu

PY - 2022

Y1 - 2022

N2 - Most microgrid (MG) inverters are based on the voltage and current double loop control structure of PI to achieve control objectives, but the controller parameter setting is complex and the dynamic response speed is slow. In this paper, the predictive model control (MPC) is used to replace the traditional voltage and current double loop modulation for T-type three-level inverter to improve the dynamic response speed and parameter setting. At the same time, aiming at the complexity of online calculation of MPC algorithm of T-type three-level inverter, an optimized algorithm is proposed and the redundant vectors are eliminated in advance, the speed of MPC is increased and improve the total harmonic distortion (THD) of MG inverter output waveform.

AB - Most microgrid (MG) inverters are based on the voltage and current double loop control structure of PI to achieve control objectives, but the controller parameter setting is complex and the dynamic response speed is slow. In this paper, the predictive model control (MPC) is used to replace the traditional voltage and current double loop modulation for T-type three-level inverter to improve the dynamic response speed and parameter setting. At the same time, aiming at the complexity of online calculation of MPC algorithm of T-type three-level inverter, an optimized algorithm is proposed and the redundant vectors are eliminated in advance, the speed of MPC is increased and improve the total harmonic distortion (THD) of MG inverter output waveform.

KW - fast search algorithm

KW - microgrid

KW - model prediction control

KW - three-level inverter

UR - https://www.scopus.com/pages/publications/85143901596

U2 - 10.1109/IECON49645.2022.9968941

DO - 10.1109/IECON49645.2022.9968941

M3 - 会议稿件

AN - SCOPUS:85143901596

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Computer Society

T2 - 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

Y2 - 17 October 2022 through 20 October 2022

ER -

Three-level microgrid inverter optimization algorithm based on model prediction control

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Keywords

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