Understanding the Steady-State Impacts of Communication Dysfunctions on the Consensus Secondary Control of Islanded Microgrids

This paper examines the steady-state impacts of cyberattacks, communication packet losses, and communication breakdowns on the consensus secondary control of islanded Microgrids (MGs). Four (4) scenarios are analyzed encompassing various communication dysfunctions, such as a) Denial-of-Service (DoS) attacks, b) False Data Injection (FDI) attacks, c) communication packet loss, and d) complete breakdowns of communication links. Our goal is to offer a clear and concise interpretation of how these communication disruptions, if undetected, can influence the steady-state performance of the consensus-based distributed secondary control of islanded MGs. Based on the simulation results, communication dysfunctions can deteriorate the secondary control of islanded MGs, causing considerable degradation of the uniform power sharing of DGs and compromising the restoration of frequency.

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Published
2024-09-02
DOI
https://doi.org/10.1109/upec61344.2024.10892367
Citations
1
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.33
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article

Understanding the Steady-State Impacts of Communication Dysfunctions on the Consensus Secondary Control of Islanded Microgrids

Emmanuel Karapidakis, Evangelos Pompodakis, Georgios I. Orfanoudakis, Giannis Katsigiannis
1 citations
Microgrid Control and Optimization
0.33
article

Understanding the Steady-State Impacts of Communication Dysfunctions on the Consensus Secondary Control of Islanded Microgrids

Emmanuel Karapidakis, Evangelos Pompodakis, Georgios I. Orfanoudakis, Giannis Katsigiannis
article en
1 citations

Abstract

This paper examines the steady-state impacts of cyberattacks, communication packet losses, and communication breakdowns on the consensus secondary control of islanded Microgrids (MGs). Four (4) scenarios are analyzed encompassing various communication dysfunctions, such as a) Denial-of-Service (DoS) attacks, b) False Data Injection (FDI) attacks, c) communication packet loss, and d) complete breakdowns of communication links. Our goal is to offer a clear and concise interpretation of how these communication disruptions, if undetected, can influence the steady-state performance of the consensus-based distributed secondary control of islanded MGs. Based on the simulation results, communication dysfunctions can deteriorate the secondary control of islanded MGs, causing considerable degradation of the uniform power sharing of DGs and compromising the restoration of frequency.

Hellenic Mediterranean University (GR)
Life below water
Openalex Percentile: Top 36%
Microgrid Control and Optimization
0.33
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