Internal Model-based Voltage Control for DC Microgrids Under Unknown External Disturbances

Amir Basati; Jingxuan Wu; Josep M. Guerrero; Juan C. Vasquez

doi:10.1109/SEST53650.2022.9898430

Internal Model-based Voltage Control for DC Microgrids Under Unknown External Disturbances

Amir Basati, Jingxuan Wu, Josep M. Guerrero, Juan C. Vasquez

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

7 Citations (Scopus)

Abstract

The applicability of a two-degree of freedom (DOF) internal model-based voltage control (IMVC) scheme for DC Microgrids (DCMGs) with unknown external disturbances is explored in this paper. One of the most challenging aspects of voltage control in DC/DC converters is maintaining voltage reference tracking under unknown external disturbances and measurement noise while the load changes simultaneously. This paper develops a voltage control framework to address these challenges by a plug-and-play internal model voltage controller for voltage-source converters (VSCs) at the primary level. The effectiveness of the proposed control scheme is evaluated by a MATLAB/Simulink testbed, considering unknown external disturbances under various rapid voltage reference changes and load profile changes in multiple case study scenarios.

Original language	English
Title of host publication	SEST 2022 - 5th International Conference on Smart Energy Systems and Technologies : SEST 2022
Publisher	IEEE
Publication date	Sept 2022
ISBN (Electronic)	9781665405577
DOIs	https://doi.org/10.1109/SEST53650.2022.9898430
Publication status	Published - Sept 2022

Keywords

DC Microgrids
Internal Model-based Voltage Control
Voltage source converters (VSCs)

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10.1109/SEST53650.2022.9898430

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Cite this

@inproceedings{1064a7c02db84ec095e2e2debb7ca343,

title = "Internal Model-based Voltage Control for DC Microgrids Under Unknown External Disturbances",

abstract = "The applicability of a two-degree of freedom (DOF) internal model-based voltage control (IMVC) scheme for DC Microgrids (DCMGs) with unknown external disturbances is explored in this paper. One of the most challenging aspects of voltage control in DC/DC converters is maintaining voltage reference tracking under unknown external disturbances and measurement noise while the load changes simultaneously. This paper develops a voltage control framework to address these challenges by a plug-and-play internal model voltage controller for voltage-source converters (VSCs) at the primary level. The effectiveness of the proposed control scheme is evaluated by a MATLAB/Simulink testbed, considering unknown external disturbances under various rapid voltage reference changes and load profile changes in multiple case study scenarios.",

keywords = "DC Microgrids, Internal Model-based Voltage Control, Voltage source converters (VSCs)",

author = "Amir Basati and Jingxuan Wu and Guerrero, {Josep M.} and Vasquez, {Juan C.}",

year = "2022",

month = sep,

doi = "10.1109/SEST53650.2022.9898430",

language = "English",

booktitle = "SEST 2022 - 5th International Conference on Smart Energy Systems and Technologies",

publisher = "IEEE",

address = "United States",

}

Internal Model-based Voltage Control for DC Microgrids Under Unknown External Disturbances. / Basati, Amir ; Wu, Jingxuan ; Guerrero, Josep M. et al.
SEST 2022 - 5th International Conference on Smart Energy Systems and Technologies: SEST 2022. IEEE, 2022.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Internal Model-based Voltage Control for DC Microgrids Under Unknown External Disturbances

AU - Basati, Amir

AU - Wu, Jingxuan

AU - Guerrero, Josep M.

AU - Vasquez, Juan C.

PY - 2022/9

Y1 - 2022/9

N2 - The applicability of a two-degree of freedom (DOF) internal model-based voltage control (IMVC) scheme for DC Microgrids (DCMGs) with unknown external disturbances is explored in this paper. One of the most challenging aspects of voltage control in DC/DC converters is maintaining voltage reference tracking under unknown external disturbances and measurement noise while the load changes simultaneously. This paper develops a voltage control framework to address these challenges by a plug-and-play internal model voltage controller for voltage-source converters (VSCs) at the primary level. The effectiveness of the proposed control scheme is evaluated by a MATLAB/Simulink testbed, considering unknown external disturbances under various rapid voltage reference changes and load profile changes in multiple case study scenarios.

AB - The applicability of a two-degree of freedom (DOF) internal model-based voltage control (IMVC) scheme for DC Microgrids (DCMGs) with unknown external disturbances is explored in this paper. One of the most challenging aspects of voltage control in DC/DC converters is maintaining voltage reference tracking under unknown external disturbances and measurement noise while the load changes simultaneously. This paper develops a voltage control framework to address these challenges by a plug-and-play internal model voltage controller for voltage-source converters (VSCs) at the primary level. The effectiveness of the proposed control scheme is evaluated by a MATLAB/Simulink testbed, considering unknown external disturbances under various rapid voltage reference changes and load profile changes in multiple case study scenarios.

KW - DC Microgrids

KW - Internal Model-based Voltage Control

KW - Voltage source converters (VSCs)

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U2 - 10.1109/SEST53650.2022.9898430

DO - 10.1109/SEST53650.2022.9898430

M3 - Article in proceeding

BT - SEST 2022 - 5th International Conference on Smart Energy Systems and Technologies

PB - IEEE

ER -

Internal Model-based Voltage Control for DC Microgrids Under Unknown External Disturbances

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Cyber-resilient Control Structures in DC Microgrids with Cyber-Physical Threats

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Internal Model-based Voltage Control for DC Microgrids Under Unknown External Disturbances

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Cyber-resilient Control Structures in DC Microgrids with Cyber-Physical Threats

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