Performances Assessment of Multi-Agent DC Microgrid Taking into Account Communication Architectures

Haoyu Wang; Rongwu Zhu; Behnam Daftary Besheli; Marco Liserre

doi:10.1109/eGrid58358.2023.10380926

Performances Assessment of Multi-Agent DC Microgrid Taking into Account Communication Architectures

Haoyu Wang^*
, Rongwu Zhu
, Behnam Daftary Besheli
, Marco Liserre

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen
Kiel University

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

2 Scopus citations

Abstract

Performances of dc Microgrids (MGs) are impacted by the interactive coupling among the multi-layer in terms of physical layer, control layer and agent layer. The physical layer is linked by the cables, and the agent layer is linked by the communication system. Apart from the physical and control layers, the capability of power/current sharing and voltage restoration, as well as the stability of the dc MG are affected by the communication architecture. Hence, this paper systematically analyzes the impacts of the control and physical parameters on the dc MG performances based on the eigenvalues of the derived dc MG state space model, which includes the multi-agent. The impacts of three different communication topologies on the dc MG performances are compared in detail. The simulation results carried out in Matlab/Plecs clearly validate the correctness and accuracy of the theoretical analyses.

Original language	English
Title of host publication	2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350327007
DOIs	https://doi.org/10.1109/eGrid58358.2023.10380926
State	Published - 2023
Externally published	Yes
Event	8th IEEE Workshop on the Electronic Grid, eGRID 2023 - Karlsruhe, Germany Duration: 16 Oct 2023 → 18 Oct 2023

Publication series

Name	2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023

Conference

Conference	8th IEEE Workshop on the Electronic Grid, eGRID 2023
Country/Territory	Germany
City	Karlsruhe
Period	16/10/23 → 18/10/23

Keywords

Communication performances
dc Microgrid
multi-agent
stability analysis

Access to Document

10.1109/eGrid58358.2023.10380926

Cite this

Wang, H., Zhu, R., Besheli, B. D., & Liserre, M. (2023). Performances Assessment of Multi-Agent DC Microgrid Taking into Account Communication Architectures. In 2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023 (2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/eGrid58358.2023.10380926

@inproceedings{6a27fc57a1b143b78cccd2f79ff46980,

title = "Performances Assessment of Multi-Agent DC Microgrid Taking into Account Communication Architectures",

abstract = "Performances of dc Microgrids (MGs) are impacted by the interactive coupling among the multi-layer in terms of physical layer, control layer and agent layer. The physical layer is linked by the cables, and the agent layer is linked by the communication system. Apart from the physical and control layers, the capability of power/current sharing and voltage restoration, as well as the stability of the dc MG are affected by the communication architecture. Hence, this paper systematically analyzes the impacts of the control and physical parameters on the dc MG performances based on the eigenvalues of the derived dc MG state space model, which includes the multi-agent. The impacts of three different communication topologies on the dc MG performances are compared in detail. The simulation results carried out in Matlab/Plecs clearly validate the correctness and accuracy of the theoretical analyses.",

keywords = "Communication performances, dc Microgrid, multi-agent, stability analysis",

author = "Haoyu Wang and Rongwu Zhu and Besheli, \{Behnam Daftary\} and Marco Liserre",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 8th IEEE Workshop on the Electronic Grid, eGRID 2023 ; Conference date: 16-10-2023 Through 18-10-2023",

year = "2023",

doi = "10.1109/eGrid58358.2023.10380926",

language = "英语",

series = "2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023",

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

booktitle = "2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023",

address = "美国",

}

Wang, H, Zhu, R, Besheli, BD & Liserre, M 2023, Performances Assessment of Multi-Agent DC Microgrid Taking into Account Communication Architectures. in 2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023. 2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023, Institute of Electrical and Electronics Engineers Inc., 8th IEEE Workshop on the Electronic Grid, eGRID 2023, Karlsruhe, Germany, 16/10/23. https://doi.org/10.1109/eGrid58358.2023.10380926

Performances Assessment of Multi-Agent DC Microgrid Taking into Account Communication Architectures. / Wang, Haoyu; Zhu, Rongwu; Besheli, Behnam Daftary et al.
2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023).

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

TY - GEN

T1 - Performances Assessment of Multi-Agent DC Microgrid Taking into Account Communication Architectures

AU - Wang, Haoyu

AU - Zhu, Rongwu

AU - Besheli, Behnam Daftary

AU - Liserre, Marco

PY - 2023

Y1 - 2023

N2 - Performances of dc Microgrids (MGs) are impacted by the interactive coupling among the multi-layer in terms of physical layer, control layer and agent layer. The physical layer is linked by the cables, and the agent layer is linked by the communication system. Apart from the physical and control layers, the capability of power/current sharing and voltage restoration, as well as the stability of the dc MG are affected by the communication architecture. Hence, this paper systematically analyzes the impacts of the control and physical parameters on the dc MG performances based on the eigenvalues of the derived dc MG state space model, which includes the multi-agent. The impacts of three different communication topologies on the dc MG performances are compared in detail. The simulation results carried out in Matlab/Plecs clearly validate the correctness and accuracy of the theoretical analyses.

AB - Performances of dc Microgrids (MGs) are impacted by the interactive coupling among the multi-layer in terms of physical layer, control layer and agent layer. The physical layer is linked by the cables, and the agent layer is linked by the communication system. Apart from the physical and control layers, the capability of power/current sharing and voltage restoration, as well as the stability of the dc MG are affected by the communication architecture. Hence, this paper systematically analyzes the impacts of the control and physical parameters on the dc MG performances based on the eigenvalues of the derived dc MG state space model, which includes the multi-agent. The impacts of three different communication topologies on the dc MG performances are compared in detail. The simulation results carried out in Matlab/Plecs clearly validate the correctness and accuracy of the theoretical analyses.

KW - Communication performances

KW - dc Microgrid

KW - multi-agent

KW - stability analysis

UR - https://www.scopus.com/pages/publications/85183588144

U2 - 10.1109/eGrid58358.2023.10380926

DO - 10.1109/eGrid58358.2023.10380926

M3 - 会议稿件

AN - SCOPUS:85183588144

T3 - 2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023

BT - 2023 8th IEEE Workshop on the Electronic Grid, eGRID 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th IEEE Workshop on the Electronic Grid, eGRID 2023

Y2 - 16 October 2023 through 18 October 2023

ER -

Performances Assessment of Multi-Agent DC Microgrid Taking into Account Communication Architectures

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