Finite Control Set Model Predictive Control for Compensating Harmonics and Reactive Power

Mario Useche; Reza Jalilzadeh Hamidi; Alejandro Garces

doi:10.1109/SoutheastCon51012.2023.10115086

Finite Control Set Model Predictive Control for Compensating Harmonics and Reactive Power

Mario Useche
, Reza Jalilzadeh Hamidi
, Alejandro Garces

Electrical & Computer Engineering

Georgia Southern University
Universidad Tecnológica de Pereira

Research output: Contribution to book or proceeding › Conference article › peer-review

2 Scopus citations

Abstract

This paper proposes a model predictive-based control scheme for photovoltaic systems mainly to improve power quality indices in inverter-based smart grids. The proposed control scheme compensates for both reactive power consumption and the harmonics generated by nonlinear loads. It utilizes the Finite Control Set Model Predictive Control (FCS-MPC) for controlling inverters' output currents in the αβ reference frame. In addition, the finite-horizon Model Predictive Control (MPC) is utilized for controlling the DC link voltage.The performance of the proposed method is evaluated using Matlab/Simulink and the simulation results demonstrate the advantages of the proposed control strategy in reducing undesirable harmonics and reactive power compensation.

Original language	English
Title of host publication	SoutheastCon 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	17-22
Number of pages	6
ISBN (Electronic)	9781665476119
ISBN (Print)	9781665476119
DOIs	https://doi.org/10.1109/SoutheastCon51012.2023.10115086
State	Published - Apr 1 2023
Event	2023 IEEE SoutheastCon, SoutheastCon 2023 - Orlando, United States Duration: Apr 1 2023 → Apr 16 2023

Publication series

Name	Conference Proceedings - IEEE SOUTHEASTCON
Volume	2023-April
ISSN (Print)	1091-0050
ISSN (Electronic)	1558-058X

Conference

Conference	2023 IEEE SoutheastCon, SoutheastCon 2023
Country/Territory	United States
City	Orlando
Period	04/1/23 → 04/16/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Scopus Subject Areas

Computer Networks and Communications
Software
Electrical and Electronic Engineering
Control and Systems Engineering
Signal Processing

Keywords

Finite set model predictive control
harmonics
power quality
predictive control

Access to Document

10.1109/SoutheastCon51012.2023.10115086

Cite this

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title = "Finite Control Set Model Predictive Control for Compensating Harmonics and Reactive Power",

abstract = "This paper proposes a model predictive-based control scheme for photovoltaic systems mainly to improve power quality indices in inverter-based smart grids. The proposed control scheme compensates for both reactive power consumption and the harmonics generated by nonlinear loads. It utilizes the Finite Control Set Model Predictive Control (FCS-MPC) for controlling inverters' output currents in the αβ reference frame. In addition, the finite-horizon Model Predictive Control (MPC) is utilized for controlling the DC link voltage.The performance of the proposed method is evaluated using Matlab/Simulink and the simulation results demonstrate the advantages of the proposed control strategy in reducing undesirable harmonics and reactive power compensation.",

keywords = "Finite set model predictive control, harmonics, power quality, predictive control",

author = "Mario Useche and Hamidi, \{Reza Jalilzadeh\} and Alejandro Garces",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE SoutheastCon, SoutheastCon 2023 ; Conference date: 01-04-2023 Through 16-04-2023",

year = "2023",

month = apr,

day = "1",

doi = "10.1109/SoutheastCon51012.2023.10115086",

language = "English",

isbn = "9781665476119",

series = "Conference Proceedings - IEEE SOUTHEASTCON",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "17--22",

booktitle = "SoutheastCon 2023",

address = "United States",

}

Useche, M, Hamidi, RJ & Garces, A 2023, Finite Control Set Model Predictive Control for Compensating Harmonics and Reactive Power. in SoutheastCon 2023. Conference Proceedings - IEEE SOUTHEASTCON, vol. 2023-April, Institute of Electrical and Electronics Engineers Inc., pp. 17-22, 2023 IEEE SoutheastCon, SoutheastCon 2023, Orlando, United States, 04/1/23. https://doi.org/10.1109/SoutheastCon51012.2023.10115086

Finite Control Set Model Predictive Control for Compensating Harmonics and Reactive Power. / Useche, Mario; Hamidi, Reza Jalilzadeh; Garces, Alejandro.
SoutheastCon 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 17-22 (Conference Proceedings - IEEE SOUTHEASTCON; Vol. 2023-April).

Research output: Contribution to book or proceeding › Conference article › peer-review

TY - GEN

T1 - Finite Control Set Model Predictive Control for Compensating Harmonics and Reactive Power

AU - Useche, Mario

AU - Hamidi, Reza Jalilzadeh

AU - Garces, Alejandro

PY - 2023/4/1

Y1 - 2023/4/1

N2 - This paper proposes a model predictive-based control scheme for photovoltaic systems mainly to improve power quality indices in inverter-based smart grids. The proposed control scheme compensates for both reactive power consumption and the harmonics generated by nonlinear loads. It utilizes the Finite Control Set Model Predictive Control (FCS-MPC) for controlling inverters' output currents in the αβ reference frame. In addition, the finite-horizon Model Predictive Control (MPC) is utilized for controlling the DC link voltage.The performance of the proposed method is evaluated using Matlab/Simulink and the simulation results demonstrate the advantages of the proposed control strategy in reducing undesirable harmonics and reactive power compensation.

AB - This paper proposes a model predictive-based control scheme for photovoltaic systems mainly to improve power quality indices in inverter-based smart grids. The proposed control scheme compensates for both reactive power consumption and the harmonics generated by nonlinear loads. It utilizes the Finite Control Set Model Predictive Control (FCS-MPC) for controlling inverters' output currents in the αβ reference frame. In addition, the finite-horizon Model Predictive Control (MPC) is utilized for controlling the DC link voltage.The performance of the proposed method is evaluated using Matlab/Simulink and the simulation results demonstrate the advantages of the proposed control strategy in reducing undesirable harmonics and reactive power compensation.

KW - Finite set model predictive control

KW - harmonics

KW - power quality

KW - predictive control

UR - https://www.scopus.com/pages/publications/85159785439

U2 - 10.1109/SoutheastCon51012.2023.10115086

DO - 10.1109/SoutheastCon51012.2023.10115086

M3 - Conference article

AN - SCOPUS:85159785439

SN - 9781665476119

T3 - Conference Proceedings - IEEE SOUTHEASTCON

SP - 17

EP - 22

BT - SoutheastCon 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE SoutheastCon, SoutheastCon 2023

Y2 - 1 April 2023 through 16 April 2023

ER -

Finite Control Set Model Predictive Control for Compensating Harmonics and Reactive Power

Abstract

Publication series

Conference

UN SDGs

Scopus Subject Areas

Keywords

Access to Document

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