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 › Article in proceedings › Research › peer-review

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	Proceedings of 2020 IEEE 11^th International Symposium on Power Electronics for Distributed Generation Systems
Publisher	IEEE
Publication date	2020
Pages	340-345
ISBN (Print)	9781728169897
DOIs	https://doi.org/10.1109/PEDG48541.2020.9244364
Publication status	Published - 2020
Event	2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems - Virtual event, Dubrovnik, Croatia Duration: 28 Sept 2020 → 1 Oct 2020 https://ieeexplore.ieee.org/xpl/conhome/9244275/proceeding

Conference

Conference	2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems
Location	Virtual event
Country/Territory	Croatia
City	Dubrovnik
Period	28/09/2020 → 01/10/2020
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9244275/proceeding

Keywords

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

UN SDGs

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

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10.1109/PEDG48541.2020.9244364

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

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

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doi = "10.1109/PEDG48541.2020.9244364",

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pages = "340--345",

booktitle = "Proceedings of 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems",

publisher = "IEEE",

address = "United States",

note = "2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2020 ; Conference date: 28-09-2020 Through 01-10-2020",

url = "https://ieeexplore.ieee.org/xpl/conhome/9244275/proceeding",

}

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 Proceedings of 2020 IEEE 11^th International Symposium on Power Electronics for Distributed Generation Systems. IEEE, pp. 340-345, 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems, Dubrovnik, Croatia, 28/09/2020. 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.
Proceedings of 2020 IEEE 11^th International Symposium on Power Electronics for Distributed Generation Systems. IEEE, 2020. p. 340-345.

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

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

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AU - Sun, Yuanxiang

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AU - Rodriguez, Jose

PY - 2020

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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 - Current distortion

KW - Voltage unbalanc

KW - Power ripples

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ER -

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

Abstract

Conference

Keywords

UN SDGs

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