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Assessing the impact of cybersecurity attacks on energy systems

Author

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

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.

Suggested Citation

  • Vijayshankar, Sanjana & Chang, Chin-Yao & Utkarsh, Kumar & Wald, Dylan & Ding, Fei & Balamurugan, Sivasathya Pradha & King, Jennifer & Macwan, Richard, 2023. "Assessing the impact of cybersecurity attacks on energy systems," Applied Energy, Elsevier, vol. 345(C).
    • Handle: RePEc:eee:appene:v:345:y:2023:i:c:s030626192300661x
    DOI: 10.1016/j.apenergy.2023.121297
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    References listed on IDEAS

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    1. Zhe Wu & Fahad Albalawi & Junfeng Zhang & Zhihao Zhang & Helen Durand & Panagiotis D. Christofides, 2018. "Detecting and Handling Cyber-Attacks in Model Predictive Control of Chemical Processes," Mathematics, MDPI, vol. 6(10), pages 1-22, September.
    2. Wald, Dylan & King, Jennifer & Bay, Christopher J. & Chintala, Rohit & Johnson, Kathryn, 2022. "Integration of distributed controllers: Power reference tracking through charging station and building coordination," Applied Energy, Elsevier, vol. 314(C).
    3. Aditya Sundararajan & Aniket Chavan & Danish Saleem & Arif I. Sarwat, 2018. "A Survey of Protocol-Level Challenges and Solutions for Distributed Energy Resource Cyber-Physical Security," Energies, MDPI, vol. 11(9), pages 1-21, September.
    4. Athira M. Mohan & Nader Meskin & Hasan Mehrjerdi, 2020. "A Comprehensive Review of the Cyber-Attacks and Cyber-Security on Load Frequency Control of Power Systems," Energies, MDPI, vol. 13(15), pages 1-33, July.
    5. Bay, Christopher J. & Chintala, Rohit & Chinde, Venkatesh & King, Jennifer, 2022. "Distributed model predictive control for coordinated, grid-interactive buildings," Applied Energy, Elsevier, vol. 312(C).
    6. Fazel Mohammadi, 2021. "Emerging Challenges in Smart Grid Cybersecurity Enhancement: A Review," Energies, MDPI, vol. 14(5), pages 1-9, March.
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    Cited by:

    1. Tabassum, Tambiara & Toker, Onur & Khalghani, Mohammad Reza, 2024. "Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network," Applied Energy, Elsevier, vol. 355(C).
    2. Zhang, Chenwei & Wang, Ying & Zheng, Tao & Zhang, Kaifeng, 2024. "Complex network theory-based optimization for enhancing resilience of large-scale multi-energy System11The short version of the paper was presented at CUE2023. This paper is a substantial extension of," Applied Energy, Elsevier, vol. 370(C).

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