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A secured distributed control system for future interconnected smart grids

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  • Saad, Ahmed A.
  • Faddel, Samy
  • Mohammed, Osama

Abstract

The reliable performance of the smart grid is a function of the configuration and cyber-physical nature of its constituting systems. Recent public reports showed that there is an increasing rate of attacks on the power systems and that the savvy attackers are now capable of obscuring themselves from conventional intrusion detection systems, bringing about serious threats. Therefore, this work proposes a secured distributed control framework for future smart grids. The work presents a distributed control framework that is secured by means of signal processing tools and consensus protocol. The work models the physical and cyber systems, showing the effect of the different types of cyber-attacks and their mitigation. The proposed framework is based on the use of graph theory and consensus protocol to achieve a global control objective among the different agents in the system. Also, the proposed algorithm is equipped with the mathematical morphology algorithm as a distributed security observer that can analyze the system behavior, and detect and mitigate malicious actions. The proposed cyber-physical system and algorithm are modeled and implemented through MATLAB/Simulink. The results showed the ability of the proposed algorithm in achieving the global power objective and voltage profiles while mitigating a different kind of attack.

Suggested Citation

  • Saad, Ahmed A. & Faddel, Samy & Mohammed, Osama, 2019. "A secured distributed control system for future interconnected smart grids," Applied Energy, Elsevier, vol. 243(C), pages 57-70.
    • Handle: RePEc:eee:appene:v:243:y:2019:i:c:p:57-70
    DOI: 10.1016/j.apenergy.2019.03.185
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    Cited by:

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    3. Ma, Shuyang & Li, Yan & Du, Liang & Wu, Jianzhong & Zhou, Yue & Zhang, Yichen & Xu, Tao, 2022. "Programmable intrusion detection for distributed energy resources in cyber–physical networked microgrids," Applied Energy, Elsevier, vol. 306(PB).
    4. Chen, Chunyu & Cui, Mingjian & Fang, Xin & Ren, Bixing & Chen, Yang, 2020. "Load altering attack-tolerant defense strategy for load frequency control system," Applied Energy, Elsevier, vol. 280(C).
    5. Ding, Shixing & Gu, Wei & Lu, Shuai & Yu, Ruizhi & Sheng, Lina, 2022. "Cyber-attack against heating system in integrated energy systems: Model and propagation mechanism," Applied Energy, Elsevier, vol. 311(C).
    6. Matthew Boeding & Kelly Boswell & Michael Hempel & Hamid Sharif & Juan Lopez & Kalyan Perumalla, 2022. "Survey of Cybersecurity Governance, Threats, and Countermeasures for the Power Grid," Energies, MDPI, vol. 15(22), pages 1-22, November.
    7. Ahmed H. Okilly & Namhun Kim & Jonghyuk Lee & Yegu Kang & Jeihoon Baek, 2023. "Development of a Smart Static Transfer Switch Based on a Triac Semiconductor for AC Power Switching Control," Energies, MDPI, vol. 16(1), pages 1-16, January.

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