The Role of Model Predictive Control in Microgrid Power Quality-A Survey

Oluleke Babayomi; Zhen Li; Zhenbin Zhang; Yuanxiang Sun; Tomislav Dragicevic; Jose Rodriguez

doi:10.1109/PEDG48541.2020.9244364

The Role of Model Predictive Control in Microgrid Power Quality-A Survey

Oluleke Babayomi, Zhen Li, Zhenbin Zhang, Yuanxiang Sun, Tomislav Dragicevic, Jose Rodriguez

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

3 Citations (Scopus)

Abstract

Modern microgrids (MGs) are designed with a high penetration of renewable energy sources that are interfaced with power converters. This feature, as well as the large number of nonlinear loads, deteriorates the power quality of the system. Therefore, effective control methods to ameliorate this challenge are essential. Existing linear control techniques for power quality in MGs are faced with a consistent challenge of control of power quality at the expense of accurate sharing of load current harmonics. Model predictive control (MPC) offers advantages of multi-variable control with fast and robust dynamic response. This paper is a survey of the MPC-based control techniques for voltage unbalances and current harmonics in MGs. The study shows that MPC can simultaneously satisfy multiple stringent requirements for voltage balance and harmonics; it is also more intuitive to implement than classical control techniques.

Original language	English
Title of host publication	2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	340-345
Number of pages	6
ISBN (Electronic)	9781728169903
DOIs	https://doi.org/10.1109/PEDG48541.2020.9244364
Publication status	Published - 28 Sept 2020
Event	11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 - Dubrovnik, Croatia Duration: 28 Sept 2020 → 1 Oct 2020

Publication series

Name	2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020

Conference

Conference	11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020
Country/Territory	Croatia
City	Dubrovnik
Period	28/09/20 → 1/10/20

Keywords

Current distortion
Microgrid
Model predictive control
Power quality
Power ripples
Voltage harmonics
Voltage unbalance

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization

UN SDGs

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

Access to Document

10.1109/PEDG48541.2020.9244364

Cite this

Babayomi, O., Li, Z., Zhang, Z., Sun, Y., Dragicevic, T., & Rodriguez, J. (2020). The Role of Model Predictive Control in Microgrid Power Quality-A Survey. In 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 (pp. 340-345). Article 9244364 (2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEDG48541.2020.9244364

Babayomi, Oluleke ; Li, Zhen ; Zhang, Zhenbin et al. / The Role of Model Predictive Control in Microgrid Power Quality-A Survey. 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 340-345 (2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020).

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title = "The Role of Model Predictive Control in Microgrid Power Quality-A Survey",

abstract = "Modern microgrids (MGs) are designed with a high penetration of renewable energy sources that are interfaced with power converters. This feature, as well as the large number of nonlinear loads, deteriorates the power quality of the system. Therefore, effective control methods to ameliorate this challenge are essential. Existing linear control techniques for power quality in MGs are faced with a consistent challenge of control of power quality at the expense of accurate sharing of load current harmonics. Model predictive control (MPC) offers advantages of multi-variable control with fast and robust dynamic response. This paper is a survey of the MPC-based control techniques for voltage unbalances and current harmonics in MGs. The study shows that MPC can simultaneously satisfy multiple stringent requirements for voltage balance and harmonics; it is also more intuitive to implement than classical control techniques.",

keywords = "Current distortion, Microgrid, Model predictive control, Power quality, Power ripples, Voltage harmonics, Voltage unbalance",

author = "Oluleke Babayomi and Zhen Li and Zhenbin Zhang and Yuanxiang Sun and Tomislav Dragicevic and Jose Rodriguez",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 ; Conference date: 28-09-2020 Through 01-10-2020",

year = "2020",

month = sep,

day = "28",

doi = "10.1109/PEDG48541.2020.9244364",

language = "English",

series = "2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020",

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Babayomi, O, Li, Z, Zhang, Z, Sun, Y, Dragicevic, T & Rodriguez, J 2020, The Role of Model Predictive Control in Microgrid Power Quality-A Survey. in 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020., 9244364, 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020, Institute of Electrical and Electronics Engineers Inc., pp. 340-345, 11th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020, Dubrovnik, Croatia, 28/09/20. https://doi.org/10.1109/PEDG48541.2020.9244364

The Role of Model Predictive Control in Microgrid Power Quality-A Survey. / Babayomi, Oluleke; Li, Zhen; Zhang, Zhenbin et al.
2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 340-345 9244364 (2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020).

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

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T1 - The Role of Model Predictive Control in Microgrid Power Quality-A Survey

AU - Babayomi, Oluleke

AU - Li, Zhen

AU - Zhang, Zhenbin

AU - Sun, Yuanxiang

AU - Dragicevic, Tomislav

AU - Rodriguez, Jose

PY - 2020/9/28

Y1 - 2020/9/28

N2 - Modern microgrids (MGs) are designed with a high penetration of renewable energy sources that are interfaced with power converters. This feature, as well as the large number of nonlinear loads, deteriorates the power quality of the system. Therefore, effective control methods to ameliorate this challenge are essential. Existing linear control techniques for power quality in MGs are faced with a consistent challenge of control of power quality at the expense of accurate sharing of load current harmonics. Model predictive control (MPC) offers advantages of multi-variable control with fast and robust dynamic response. This paper is a survey of the MPC-based control techniques for voltage unbalances and current harmonics in MGs. The study shows that MPC can simultaneously satisfy multiple stringent requirements for voltage balance and harmonics; it is also more intuitive to implement than classical control techniques.

AB - Modern microgrids (MGs) are designed with a high penetration of renewable energy sources that are interfaced with power converters. This feature, as well as the large number of nonlinear loads, deteriorates the power quality of the system. Therefore, effective control methods to ameliorate this challenge are essential. Existing linear control techniques for power quality in MGs are faced with a consistent challenge of control of power quality at the expense of accurate sharing of load current harmonics. Model predictive control (MPC) offers advantages of multi-variable control with fast and robust dynamic response. This paper is a survey of the MPC-based control techniques for voltage unbalances and current harmonics in MGs. The study shows that MPC can simultaneously satisfy multiple stringent requirements for voltage balance and harmonics; it is also more intuitive to implement than classical control techniques.

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KW - Model predictive control

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KW - Power ripples

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KW - Voltage unbalance

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ER -

Babayomi O, Li Z, Zhang Z, Sun Y, Dragicevic T, Rodriguez J. The Role of Model Predictive Control in Microgrid Power Quality-A Survey. In 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 340-345. 9244364. (2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020). doi: 10.1109/PEDG48541.2020.9244364

The Role of Model Predictive Control in Microgrid Power Quality-A Survey

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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