Assessing the Impact of Cybersecurity Attacks on Energy Systems: Article No. 121297

Sanjana Vijayshankar; Chin-Yao Chang; Kumar Utkarsh; Dylan Wald; Fei Ding; Sivasathya Balamurugan; Jennifer King; Richard Macwan

doi:10.1016/j.apenergy.2023.121297

Assessing the Impact of Cybersecurity Attacks on Energy Systems: Article No. 121297

Sanjana Vijayshankar, Chin-Yao Chang, Kumar Utkarsh, Dylan Wald, Fei Ding, Sivasathya Balamurugan, Jennifer King, Richard Macwan

Research output: Contribution to journal › Article › peer-review

6 Scopus Citations

Abstract

This paper investigates the cyber resiliency of future power systems with high penetration of distributed energy resources using advanced distributed and (or) hierarchical control architectures. Specifically, we simulate cyberattacks on three prototypical use cases, and we identify attack scenarios that are the most damaging to the overall system performance. We show that these attacks can have a significant impact on grid operation. Results provide additional insights into the robustness of the system to the most common cyberattacks.

Original language	American English
Number of pages	12
Journal	Applied Energy
Volume	345
DOIs	https://doi.org/10.1016/j.apenergy.2023.121297
State	Published - 2023

NREL Publication Number

NREL/JA-5000-84819

Keywords

buildings
distributed control
distributed energy resources
energy systems
model predictive control
optimization

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10.1016/j.apenergy.2023.121297

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title = "Assessing the Impact of Cybersecurity Attacks on Energy Systems: Article No. 121297",

abstract = "This paper investigates the cyber resiliency of future power systems with high penetration of distributed energy resources using advanced distributed and (or) hierarchical control architectures. Specifically, we simulate cyberattacks on three prototypical use cases, and we identify attack scenarios that are the most damaging to the overall system performance. We show that these attacks can have a significant impact on grid operation. Results provide additional insights into the robustness of the system to the most common cyberattacks.",

keywords = "buildings, distributed control, distributed energy resources, energy systems, model predictive control, optimization",

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AU - Vijayshankar, Sanjana

AU - Chang, Chin-Yao

AU - Utkarsh, Kumar

AU - Wald, Dylan

AU - Ding, Fei

AU - Balamurugan, Sivasathya

AU - King, Jennifer

AU - Macwan, Richard

PY - 2023

Y1 - 2023

N2 - This paper investigates the cyber resiliency of future power systems with high penetration of distributed energy resources using advanced distributed and (or) hierarchical control architectures. Specifically, we simulate cyberattacks on three prototypical use cases, and we identify attack scenarios that are the most damaging to the overall system performance. We show that these attacks can have a significant impact on grid operation. Results provide additional insights into the robustness of the system to the most common cyberattacks.

AB - This paper investigates the cyber resiliency of future power systems with high penetration of distributed energy resources using advanced distributed and (or) hierarchical control architectures. Specifically, we simulate cyberattacks on three prototypical use cases, and we identify attack scenarios that are the most damaging to the overall system performance. We show that these attacks can have a significant impact on grid operation. Results provide additional insights into the robustness of the system to the most common cyberattacks.

KW - buildings

KW - distributed control

KW - distributed energy resources

KW - energy systems

KW - model predictive control

KW - optimization

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DO - 10.1016/j.apenergy.2023.121297

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SN - 0306-2619

VL - 345

JO - Applied Energy

JF - Applied Energy

ER -

Assessing the Impact of Cybersecurity Attacks on Energy Systems: Article No. 121297

Abstract

NREL Publication Number

Keywords

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