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A remedial action framework against cyberattacks targeting energy hubs integrated with distributed energy resources

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  • Pazouki, Samaneh
  • Naderi, Ehsan
  • Asrari, Arash

Abstract

Operation of modern power systems integrated by distributed energy resources is only possible if information/communication technologies are leveraged in the system. This results in cyber-physical power systems which are vulnerable to malicious cyberattacks. Hence, it is crucial to propose practical solutions to enhance the resilience of smart grids against cyberattacks. Targeting energy hubs integrated by distributed energy resources, a cyberattack based on min–max formulation is presented in this paper. A remedial action scheme, which changes status (i.e., connection/disconnection) of the energy hub components, is proposed to mitigate the economic effect of the aforementioned cyberattack. The electricity/heat demands of the energy hub are supplied by electricity/gas networks and the energy hub components including combined heat and power, wind turbine, electrical/thermal storages, boiler, and demand response. The attacker utilizes the energy hub components to increase the associated costs. However, the system operator controls the costs by changing the status of the energy hub devices. Obtained results verify that the proposed framework leads to an effective mechanism to proactively mitigate the economic-related consequences of cyberattacks on energy hubs. The simulation results demonstrate that: 1) disconnection of the energy hub from electricity networks under the cyberattack mitigates the increased cost by 40%, 2) disconnection of the energy hub from boiler and connection of thermal storage to the system under the experienced cyberattack reduce the imposed cost by 76%.

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  • Pazouki, Samaneh & Naderi, Ehsan & Asrari, Arash, 2021. "A remedial action framework against cyberattacks targeting energy hubs integrated with distributed energy resources," Applied Energy, Elsevier, vol. 304(C).
    • Handle: RePEc:eee:appene:v:304:y:2021:i:c:s0306261921012095
    DOI: 10.1016/j.apenergy.2021.117895
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    References listed on IDEAS

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    1. Kamali, Sadegh & Amraee, Turaj, 2017. "Blackout prediction in interconnected electric energy systems considering generation re-dispatch and energy curtailment," Applied Energy, Elsevier, vol. 187(C), pages 50-61.
    2. Iliopoulos, Nikolaos & Esteban, Miguel & Kudo, Shogo, 2020. "Assessing the willingness of residential electricity consumers to adopt demand side management and distributed energy resources: A case study on the Japanese market," Energy Policy, Elsevier, vol. 137(C).
    3. Heidari, A. & Mortazavi, S.S. & Bansal, R.C., 2020. "Stochastic effects of ice storage on improvement of an energy hub optimal operation including demand response and renewable energies," Applied Energy, Elsevier, vol. 261(C).
    4. Ananda Kumar, V. & Pandey, Krishan K. & Punia, Devendra Kumar, 2014. "Cyber security threats in the power sector: Need for a domain specific regulatory framework in India," Energy Policy, Elsevier, vol. 65(C), pages 126-133.
    5. Lu, Xinhui & Liu, Zhaoxi & Ma, Li & Wang, Lingfeng & Zhou, Kaile & Feng, Nanping, 2020. "A robust optimization approach for optimal load dispatch of community energy hub," Applied Energy, Elsevier, vol. 259(C).
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