Cyber Resilient Communication Network Design for Secondary Control of Microgrids

Journal Article (2025)
Author(s)

J. Xiao (TU Delft - DC systems, Energy conversion & Storage)

L. Wang (TU Delft - DC systems, Energy conversion & Storage)

Q. Shafiee (TU Delft - DC systems, Energy conversion & Storage)

P. Bauer (TU Delft - DC systems, Energy conversion & Storage)

Z. Qin (TU Delft - DC systems, Energy conversion & Storage)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/TII.2025.3558327
More Info
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Publication Year
2025
Language
English
Research Group
DC systems, Energy conversion & Storage
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
8
Volume number
21
Pages (from-to)
6071-6080
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Distributed secondary control achieves voltage restoration and power sharing through communication among adjacent units but exposes the microgrid to potential cyber-attacks. Traditional mitigation strategies modify the secondary controller after the attack, addressing the issue only postoccurrence. Furthermore, in microgrid planning, the structure of the communication network significantly influences the resilience to attacks, but it remains to be explored. This article presents a proactive defense mechanism by designing a resilient communication network. The proposed method quantifies the impact of attacks and develops a multiobjective optimization algorithm to design the network, considering quantified attacks, convergence, time-delay robustness, and communication costs. The method is validated through OPAL-RT simulations of an islanded microgrid with ten converters.

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