Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks

Yajie Jiang; Yun Yang; Siew Chong Tan; Shu Yuen Ron Hui

doi:10.1109/ECCE47101.2021.9595314

Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks

Yajie Jiang
, Yun Yang
, Siew Chong Tan
, Shu Yuen Ron Hui

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

Distributed secondary control schemes are widely adopted for distributed energy resources (DERs) to restore bus voltages and share output current/power in DC microgrids. However, when the control variables of the conventional distributed secondary control is attacked by false data injection (FDI) attacks, the control objectives cannot be achieved. More seriously, the stability of the entire DER system is threatened. To address this issue, a distributed linear state observer (DLSO)-based distributed secondary control is presented in this digest. The DLSO detects the attack signals based on local and neighboring measurements. The estimated attack-signals in the DLSO are further compensated by the control variables of the distributed secondary control to eliminate the negative impact from the cyber-attacks. Both simulation and experimental results have validated the effectiveness of the proposed control for both bus voltage regulations and output current/power sharing.

Original language	English
Title of host publication	2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1052-1057
Number of pages	6
ISBN (Electronic)	9781728151359
DOIs	https://doi.org/10.1109/ECCE47101.2021.9595314
Publication status	Published - Nov 2021
Externally published	Yes
Event	13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Virtual, Online, Canada Duration: 10 Oct 2021 → 14 Oct 2021

Publication series

Name	2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

Conference

Conference	13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Country/Territory	Canada
City	Virtual, Online
Period	10/10/21 → 14/10/21

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

DC microgrid
distributed energy resource (DER)
Distributed linear state observer (DLSO)
distributed secondary control
false data injection (FDI) attacks.

ASJC Scopus subject areas

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

More information

10.1109/ECCE47101.2021.9595314

Cite this

Jiang, Y., Yang, Y., Tan, S. C., & Hui, S. Y. R. (2021). Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks. In 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (pp. 1052-1057). (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE47101.2021.9595314

Jiang, Yajie ; Yang, Yun ; Tan, Siew Chong et al. / Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks. 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1052-1057 (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings).

@inproceedings{d903be1512cb4cf3b9ceed35845f2d22,

title = "Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks",

abstract = "Distributed secondary control schemes are widely adopted for distributed energy resources (DERs) to restore bus voltages and share output current/power in DC microgrids. However, when the control variables of the conventional distributed secondary control is attacked by false data injection (FDI) attacks, the control objectives cannot be achieved. More seriously, the stability of the entire DER system is threatened. To address this issue, a distributed linear state observer (DLSO)-based distributed secondary control is presented in this digest. The DLSO detects the attack signals based on local and neighboring measurements. The estimated attack-signals in the DLSO are further compensated by the control variables of the distributed secondary control to eliminate the negative impact from the cyber-attacks. Both simulation and experimental results have validated the effectiveness of the proposed control for both bus voltage regulations and output current/power sharing. ",

keywords = "DC microgrid, distributed energy resource (DER), Distributed linear state observer (DLSO), distributed secondary control, false data injection (FDI) attacks.",

author = "Yajie Jiang and Yun Yang and Tan, \{Siew Chong\} and Hui, \{Shu Yuen Ron\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 ; Conference date: 10-10-2021 Through 14-10-2021",

year = "2021",

month = nov,

doi = "10.1109/ECCE47101.2021.9595314",

language = "English",

series = "2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings",

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

pages = "1052--1057",

booktitle = "2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings",

}

Jiang, Y, Yang, Y, Tan, SC & Hui, SYR 2021, Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks. in 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1052-1057, 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021, Virtual, Online, Canada, 10/10/21. https://doi.org/10.1109/ECCE47101.2021.9595314

Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks. / Jiang, Yajie; Yang, Yun; Tan, Siew Chong et al.
2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1052-1057 (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks

AU - Jiang, Yajie

AU - Yang, Yun

AU - Tan, Siew Chong

AU - Hui, Shu Yuen Ron

PY - 2021/11

Y1 - 2021/11

N2 - Distributed secondary control schemes are widely adopted for distributed energy resources (DERs) to restore bus voltages and share output current/power in DC microgrids. However, when the control variables of the conventional distributed secondary control is attacked by false data injection (FDI) attacks, the control objectives cannot be achieved. More seriously, the stability of the entire DER system is threatened. To address this issue, a distributed linear state observer (DLSO)-based distributed secondary control is presented in this digest. The DLSO detects the attack signals based on local and neighboring measurements. The estimated attack-signals in the DLSO are further compensated by the control variables of the distributed secondary control to eliminate the negative impact from the cyber-attacks. Both simulation and experimental results have validated the effectiveness of the proposed control for both bus voltage regulations and output current/power sharing.

AB - Distributed secondary control schemes are widely adopted for distributed energy resources (DERs) to restore bus voltages and share output current/power in DC microgrids. However, when the control variables of the conventional distributed secondary control is attacked by false data injection (FDI) attacks, the control objectives cannot be achieved. More seriously, the stability of the entire DER system is threatened. To address this issue, a distributed linear state observer (DLSO)-based distributed secondary control is presented in this digest. The DLSO detects the attack signals based on local and neighboring measurements. The estimated attack-signals in the DLSO are further compensated by the control variables of the distributed secondary control to eliminate the negative impact from the cyber-attacks. Both simulation and experimental results have validated the effectiveness of the proposed control for both bus voltage regulations and output current/power sharing.

KW - DC microgrid

KW - distributed energy resource (DER)

KW - Distributed linear state observer (DLSO)

KW - distributed secondary control

KW - false data injection (FDI) attacks.

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DO - 10.1109/ECCE47101.2021.9595314

M3 - Conference article published in proceeding or book

AN - SCOPUS:85123379159

T3 - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

SP - 1052

EP - 1057

BT - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021

Y2 - 10 October 2021 through 14 October 2021

ER -

Jiang Y, Yang Y, Tan SC, Hui SYR. Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks. In 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1052-1057. (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings). doi: 10.1109/ECCE47101.2021.9595314

Distributed Linear State Observer (DLSO)-Based Distributed Secondary Control for DC Microgrids under False Signal Attacks

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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