A Resilient Control Strategy Against False Data Injection Attacks for DC Microgrids

Linhao Ding; Panbao Wang; Zhenyu Ke; Wei Wang; Dianguo Xu

doi:10.1049/icp.2026.0715

A Resilient Control Strategy Against False Data Injection Attacks for DC Microgrids

Linhao Ding
, Panbao Wang^*
, Zhenyu Ke
, Wei Wang
, Dianguo Xu

^*Corresponding author for this work

School of Electrical Engineering and Automation, Harbin Institute of Technology

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

Abstract

Defending against false data injection attacks is critical to ensuring the stable operation of DC microgrids(MGs). Based on the traditional linear extended state observer (LESO), this article proposes a nonlinear extended state observer (NESO). While the conventional LESO is applicable to low-frequency attack scenarios, the proposed NESO, integrated with a predefined-time algorithm, enhances the dynamic performance near the steady-state. This enables it to effectively mitigate a wide range of cyber-attacks, including high-frequency ones. Experimental results demonstrate that under attacks involving constant, sinusoidal, and noise signal injections, the NESO can rapidly and accurately track and compensate for the attack signals, thereby safeguarding the stable operation of the DC MGs system.

Original language	English
Title of host publication	China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025
Publisher	Institution of Engineering and Technology
Pages	200-205
Number of pages	6
Volume	2025
Edition	49
ISBN (Electronic)	9781807050207, 9781807050344, 9781807050351, 9781807050375, 9781837242634, 9781837242900, 9781837242917, 9781837243143, 9781837243150, 9781837243167, 9781837243235, 9781837243341, 9781837243358, 9781837245277, 9781837246847, 9781837246854, 9781837247004, 9781837247011, 9781837247028, 9781837247035, 9781837247042, 9781837247059, 9781837247257, 9781837247264, 9781837247271, 9781837247295, 9781837247325, 9781837247332, 9781837249916
DOIs	https://doi.org/10.1049/icp.2026.0715
State	Published - 1 May 2026
Externally published	Yes
Event	2025 China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025 - Beijing, China Duration: 22 Oct 2025 → 24 Oct 2025

Conference

Conference	2025 China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025
Country/Territory	China
City	Beijing
Period	22/10/25 → 24/10/25

Keywords

DC microgrids
destabilization attacks
nonlinear extended state observer
resilient distributed control

Access to Document

10.1049/icp.2026.0715

Cite this

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title = "A Resilient Control Strategy Against False Data Injection Attacks for DC Microgrids",

abstract = "Defending against false data injection attacks is critical to ensuring the stable operation of DC microgrids(MGs). Based on the traditional linear extended state observer (LESO), this article proposes a nonlinear extended state observer (NESO). While the conventional LESO is applicable to low-frequency attack scenarios, the proposed NESO, integrated with a predefined-time algorithm, enhances the dynamic performance near the steady-state. This enables it to effectively mitigate a wide range of cyber-attacks, including high-frequency ones. Experimental results demonstrate that under attacks involving constant, sinusoidal, and noise signal injections, the NESO can rapidly and accurately track and compensate for the attack signals, thereby safeguarding the stable operation of the DC MGs system.",

keywords = "DC microgrids, destabilization attacks, nonlinear extended state observer, resilient distributed control",

author = "Linhao Ding and Panbao Wang and Zhenyu Ke and Wei Wang and Dianguo Xu",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering \& Technology 2025.; 2025 China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025 ; Conference date: 22-10-2025 Through 24-10-2025",

year = "2026",

month = may,

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doi = "10.1049/icp.2026.0715",

language = "英语",

volume = "2025",

pages = "200--205",

booktitle = "China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025",

publisher = "Institution of Engineering and Technology",

address = "英国",

edition = "49",

}

Ding, L, Wang, P, Ke, Z, Wang, W & Xu, D 2026, A Resilient Control Strategy Against False Data Injection Attacks for DC Microgrids. in China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025. 49 edn, vol. 2025, Institution of Engineering and Technology, pp. 200-205, 2025 China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025, Beijing, China, 22/10/25. https://doi.org/10.1049/icp.2026.0715

A Resilient Control Strategy Against False Data Injection Attacks for DC Microgrids. / Ding, Linhao; Wang, Panbao; Ke, Zhenyu et al.
China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025. Vol. 2025 49. ed. Institution of Engineering and Technology, 2026. p. 200-205.

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

TY - GEN

T1 - A Resilient Control Strategy Against False Data Injection Attacks for DC Microgrids

AU - Ding, Linhao

AU - Wang, Panbao

AU - Ke, Zhenyu

AU - Wang, Wei

AU - Xu, Dianguo

N1 - Publisher Copyright: © The Institution of Engineering & Technology 2025.

PY - 2026/5/1

Y1 - 2026/5/1

N2 - Defending against false data injection attacks is critical to ensuring the stable operation of DC microgrids(MGs). Based on the traditional linear extended state observer (LESO), this article proposes a nonlinear extended state observer (NESO). While the conventional LESO is applicable to low-frequency attack scenarios, the proposed NESO, integrated with a predefined-time algorithm, enhances the dynamic performance near the steady-state. This enables it to effectively mitigate a wide range of cyber-attacks, including high-frequency ones. Experimental results demonstrate that under attacks involving constant, sinusoidal, and noise signal injections, the NESO can rapidly and accurately track and compensate for the attack signals, thereby safeguarding the stable operation of the DC MGs system.

AB - Defending against false data injection attacks is critical to ensuring the stable operation of DC microgrids(MGs). Based on the traditional linear extended state observer (LESO), this article proposes a nonlinear extended state observer (NESO). While the conventional LESO is applicable to low-frequency attack scenarios, the proposed NESO, integrated with a predefined-time algorithm, enhances the dynamic performance near the steady-state. This enables it to effectively mitigate a wide range of cyber-attacks, including high-frequency ones. Experimental results demonstrate that under attacks involving constant, sinusoidal, and noise signal injections, the NESO can rapidly and accurately track and compensate for the attack signals, thereby safeguarding the stable operation of the DC MGs system.

KW - DC microgrids

KW - destabilization attacks

KW - nonlinear extended state observer

KW - resilient distributed control

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DO - 10.1049/icp.2026.0715

M3 - 会议稿件

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VL - 2025

SP - 200

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BT - China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025

PB - Institution of Engineering and Technology

T2 - 2025 China HVDC and Power Electronics Annual Meeting of CSEE, DCPE 2025

Y2 - 22 October 2025 through 24 October 2025

ER -

A Resilient Control Strategy Against False Data Injection Attacks for DC Microgrids

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Keywords

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