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Cyber Risk Assessment of Transmission Lines in Smart Grids

Author

Listed:
  • Xuan Liu

    (College of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Xingdong Liu

    (College of Electrical Engineering, Jinan University, Guangzhou 510632, China)

  • Zuyi Li

    (College of Electrical Engineering, Illinois Institute of University, Chicago, IL 601106, USA)

Abstract

The increasing use of information technologies in power systems has increased the risk of power systems to cyber-attacks. In this paper, we assess the risk of transmission lines being overloaded due to cyber-based false data injection attacks. The cyber risk assessment is formulated as bilevel optimization problems that determine the maximum line flows under false data injection attacks. We propose efficient techniques to reduce the computation complexity of solving the bilevel problems. Specifically, primary and secondary filtering techniques are employed to identify the lines whose flows will never exceed their limits, which can significantly reduce computation burden. A special feasibility cut-based acceleration technique is introduced to further reduce the computation burden. The simulation results on the IEEE 30-bus, IEEE 118-bus, IEEE 300-bus and IEEE 2383-bus systems verify the proposed risk assessment model and the effectiveness of the proposed filtering and acceleration techniques.

Suggested Citation

  • Xuan Liu & Xingdong Liu & Zuyi Li, 2015. "Cyber Risk Assessment of Transmission Lines in Smart Grids," Energies, MDPI, vol. 8(12), pages 1-15, December.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:12:p:12393-13810:d:59969
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    References listed on IDEAS

    as
    1. Dai Wang & Xiaohong Guan & Ting Liu & Yun Gu & Chao Shen & Zhanbo Xu, 2014. "Extended Distributed State Estimation: A Detection Method against Tolerable False Data Injection Attacks in Smart Grids," Energies, MDPI, vol. 7(3), pages 1-22, March.
    2. Xiaming Ye & Junhua Zhao & Yan Zhang & Fushuan Wen, 2015. "Quantitative Vulnerability Assessment of Cyber Security for Distribution Automation Systems," Energies, MDPI, vol. 8(6), pages 1-21, June.
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    Cited by:

    1. Jinchao Li & Tianzhi Li & Liu Han, 2018. "Research on the Evaluation Model of a Smart Grid Development Level Based on Differentiation of Development Demand," Sustainability, MDPI, vol. 10(11), pages 1-25, November.
    2. Qi Wang & Yi Tang & Feng Li & Mengya Li & Yang Li & Ming Ni, 2016. "Coordinated Scheme of Under-Frequency Load Shedding with Intelligent Appliances in a Cyber Physical Power System," Energies, MDPI, vol. 9(8), pages 1-14, August.
    3. Irene Muñoz-Benavente & Emilio Gómez-Lázaro & Tania García-Sánchez & Antonio Vigueras-Rodríguez & Angel Molina-García, 2017. "Implementation and Assessment of a Decentralized Load Frequency Control: Application to Power Systems with High Wind Energy Penetration," Energies, MDPI, vol. 10(2), pages 1-17, January.

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