Optimal Model Predictive Controller for Grid-Connected Voltage Source Converters

Mohammad Mehdi Mardani; Nenad Mijatovic; Tomislav Dragicevic

doi:10.1109/ISIE51582.2022.9831711

Optimal Model Predictive Controller for Grid-Connected Voltage Source Converters

Mohammad Mehdi Mardani, Nenad Mijatovic, Tomislav Dragicevic

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

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Abstract

Grid-connected power electronic converters are the fundamental building blocks of future power electronic-based power systems. Their fast dynamic performance and robustness are the key requirements for ensuring the reliable operation of such systems. This letter proposes a simple optimal model predictive controller (MPC) to control the active and the reactive current of the three-phase voltage source grid-connected converters. Better performance over other state-of-the-art controllers is evaluated based on quantitative criteria comprising the settling time, and the percentage of the overshoot. Finally, the experimental tests are provided to prove the applicability of the proposed approach.

Original language	English
Title of host publication	Proceedings of 31^st IEEE International Symposium on Industrial Electronics
Number of pages	5
Publisher	IEEE
Publication date	2022
ISBN (Print)	978-1-6654-8241-7
DOIs	https://doi.org/10.1109/ISIE51582.2022.9831711
Publication status	Published - 2022
Event	31^st IEEE International Symposium on Industrial Electronics - Dena'ina Center, Anchorage, United States Duration: 1 Jun 2022 → 3 Jun 2022 Conference number: 31 http://www.ieee-isie2022.org/

Conference

Conference	31^st IEEE International Symposium on Industrial Electronics
Number	31
Location	Dena'ina Center
Country/Territory	United States
City	Anchorage
Period	01/06/2022 → 03/06/2022
Internet address	http://www.ieee-isie2022.org/

Keywords

Model predictive control (MPC)
Optimal performance
Voltage source converter (VSC)
Current control
Distributed power generation

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10.1109/ISIE51582.2022.9831711

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title = "Optimal Model Predictive Controller for Grid-Connected Voltage Source Converters",

abstract = "Grid-connected power electronic converters are the fundamental building blocks of future power electronic-based power systems. Their fast dynamic performance and robustness are the key requirements for ensuring the reliable operation of such systems. This letter proposes a simple optimal model predictive controller (MPC) to control the active and the reactive current of the three-phase voltage source grid-connected converters. Better performance over other state-of-the-art controllers is evaluated based on quantitative criteria comprising the settling time, and the percentage of the overshoot. Finally, the experimental tests are provided to prove the applicability of the proposed approach.",

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AU - Dragicevic, Tomislav

N1 - Conference code: 31

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Y1 - 2022

N2 - Grid-connected power electronic converters are the fundamental building blocks of future power electronic-based power systems. Their fast dynamic performance and robustness are the key requirements for ensuring the reliable operation of such systems. This letter proposes a simple optimal model predictive controller (MPC) to control the active and the reactive current of the three-phase voltage source grid-connected converters. Better performance over other state-of-the-art controllers is evaluated based on quantitative criteria comprising the settling time, and the percentage of the overshoot. Finally, the experimental tests are provided to prove the applicability of the proposed approach.

AB - Grid-connected power electronic converters are the fundamental building blocks of future power electronic-based power systems. Their fast dynamic performance and robustness are the key requirements for ensuring the reliable operation of such systems. This letter proposes a simple optimal model predictive controller (MPC) to control the active and the reactive current of the three-phase voltage source grid-connected converters. Better performance over other state-of-the-art controllers is evaluated based on quantitative criteria comprising the settling time, and the percentage of the overshoot. Finally, the experimental tests are provided to prove the applicability of the proposed approach.

KW - Model predictive control (MPC)

KW - Optimal performance

KW - Voltage source converter (VSC)

KW - Current control

KW - Distributed power generation

U2 - 10.1109/ISIE51582.2022.9831711

DO - 10.1109/ISIE51582.2022.9831711

M3 - Article in proceedings

SN - 978-1-6654-8241-7

BT - Proceedings of 31st IEEE International Symposium on Industrial Electronics

PB - IEEE

T2 - 31<sup>st</sup> IEEE International Symposium on Industrial Electronics

Y2 - 1 June 2022 through 3 June 2022

ER -

Optimal Model Predictive Controller for Grid-Connected Voltage Source Converters

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