Direct Model Predictive Control with Constrained Power Losses for Grid-Tied Converters with LCL Filters

Mattia Rossi; Petros Karamanakos; Arto Sankala

doi:10.23919/EPE23ECCEEurope58414.2023.10264434

Direct Model Predictive Control with Constrained Power Losses for Grid-Tied Converters with LCL Filters

Mattia Rossi^*
, Petros Karamanakos^*
, Arto Sankala

^*Corresponding author for this work

Electrical Engineering

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

1 Citation (Scopus)

9 Downloads (Pure)

Abstract

This paper proposes a direct model predictive control (MPC) method that improves the efficiency of grid-tied converters with LCL filters, while minimizing the grid current distortions. To do so, the MPC problem not only accounts for the grid current reference tracking minimization, but it also limits the converter power losses by introducing explicit constraints on them. To this aim, different problem formulations are examined to limit the losses. Specifically, the FCS-MPC problem is designed such that it either limits the losses per semiconductor device or the three-phase converter losses. The presented results verify the effectiveness of the proposed strategy and demonstrate the performance benefits compared to conventional control and modulation methods, such as voltage-oriented control (VOC) with space vector modulation (SVM) or discontinuous pulse width modulation (DPWM).

Original language	English
Title of host publication	2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe
Publisher	IEEE
Number of pages	9
ISBN (Electronic)	978-9-0758-1541-2
ISBN (Print)	979-8-3503-1678-0
DOIs	https://doi.org/10.23919/EPE23ECCEEurope58414.2023.10264434
Publication status	Published - 2023
Publication type	A4 Article in conference proceedings
Event	European Conference on Power Electronics and Applications - Aalborg, Denmark Duration: 4 Sept 2023 → 8 Sept 2023

Conference

Conference	European Conference on Power Electronics and Applications
Country/Territory	Denmark
City	Aalborg
Period	4/09/23 → 8/09/23

Keywords

analytical losses computation
efficiency
grid-connected converter
Model predictive control
optimal control
power losses

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.23919/EPE23ECCEEurope58414.2023.10264434

Direct model predictive control with constrained power losses for grid-tied converters with LCL filters
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Accepted author manuscript, 4.22 MBLicence: Unspecified

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Cite this

@inproceedings{7758147130354d9686dd6c1b50075a3a,

title = "Direct Model Predictive Control with Constrained Power Losses for Grid-Tied Converters with LCL Filters",

abstract = "This paper proposes a direct model predictive control (MPC) method that improves the efficiency of grid-tied converters with LCL filters, while minimizing the grid current distortions. To do so, the MPC problem not only accounts for the grid current reference tracking minimization, but it also limits the converter power losses by introducing explicit constraints on them. To this aim, different problem formulations are examined to limit the losses. Specifically, the FCS-MPC problem is designed such that it either limits the losses per semiconductor device or the three-phase converter losses. The presented results verify the effectiveness of the proposed strategy and demonstrate the performance benefits compared to conventional control and modulation methods, such as voltage-oriented control (VOC) with space vector modulation (SVM) or discontinuous pulse width modulation (DPWM).",

keywords = "analytical losses computation, efficiency, grid-connected converter, Model predictive control, optimal control, power losses",

author = "Mattia Rossi and Petros Karamanakos and Arto Sankala",

note = "Publisher Copyright: {\textcopyright} 2023 EPE Association.; European Conference on Power Electronics and Applications ; Conference date: 04-09-2023 Through 08-09-2023",

year = "2023",

doi = "10.23919/EPE23ECCEEurope58414.2023.10264434",

language = "English",

isbn = "979-8-3503-1678-0",

booktitle = "2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe",

publisher = "IEEE",

address = "United States",

}

Rossi, M, Karamanakos, P & Sankala, A 2023, Direct Model Predictive Control with Constrained Power Losses for Grid-Tied Converters with LCL Filters. in 2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe. IEEE, European Conference on Power Electronics and Applications, Aalborg, Denmark, 4/09/23. https://doi.org/10.23919/EPE23ECCEEurope58414.2023.10264434

Direct Model Predictive Control with Constrained Power Losses for Grid-Tied Converters with LCL Filters. / Rossi, Mattia; Karamanakos, Petros; Sankala, Arto.
2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe. IEEE, 2023.

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

TY - GEN

T1 - Direct Model Predictive Control with Constrained Power Losses for Grid-Tied Converters with LCL Filters

AU - Rossi, Mattia

AU - Karamanakos, Petros

AU - Sankala, Arto

PY - 2023

Y1 - 2023

N2 - This paper proposes a direct model predictive control (MPC) method that improves the efficiency of grid-tied converters with LCL filters, while minimizing the grid current distortions. To do so, the MPC problem not only accounts for the grid current reference tracking minimization, but it also limits the converter power losses by introducing explicit constraints on them. To this aim, different problem formulations are examined to limit the losses. Specifically, the FCS-MPC problem is designed such that it either limits the losses per semiconductor device or the three-phase converter losses. The presented results verify the effectiveness of the proposed strategy and demonstrate the performance benefits compared to conventional control and modulation methods, such as voltage-oriented control (VOC) with space vector modulation (SVM) or discontinuous pulse width modulation (DPWM).

AB - This paper proposes a direct model predictive control (MPC) method that improves the efficiency of grid-tied converters with LCL filters, while minimizing the grid current distortions. To do so, the MPC problem not only accounts for the grid current reference tracking minimization, but it also limits the converter power losses by introducing explicit constraints on them. To this aim, different problem formulations are examined to limit the losses. Specifically, the FCS-MPC problem is designed such that it either limits the losses per semiconductor device or the three-phase converter losses. The presented results verify the effectiveness of the proposed strategy and demonstrate the performance benefits compared to conventional control and modulation methods, such as voltage-oriented control (VOC) with space vector modulation (SVM) or discontinuous pulse width modulation (DPWM).

KW - analytical losses computation

KW - efficiency

KW - grid-connected converter

KW - Model predictive control

KW - optimal control

KW - power losses

U2 - 10.23919/EPE23ECCEEurope58414.2023.10264434

DO - 10.23919/EPE23ECCEEurope58414.2023.10264434

M3 - Conference contribution

AN - SCOPUS:85175161710

SN - 979-8-3503-1678-0

BT - 2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe

PB - IEEE

T2 - European Conference on Power Electronics and Applications

Y2 - 4 September 2023 through 8 September 2023

ER -

Direct Model Predictive Control with Constrained Power Losses for Grid-Tied Converters with LCL Filters

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