IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i4p725-d208188.html

Assessing the Impact of Cybersecurity Attacks on Power Systems

Author

Listed:
  • Athanasios Dagoumas

    (Energy & Environmental Policy Laboratory, School of Economics, Business and International Studies, University of Piraeus, PC 18532 Piraeus, Greece)

Abstract

Cybersecurity is an emerging challenge for power systems, as it strongly affects their reliability and the whole energy system cost. The paper uses several Unit Commitments (UC) models, applying different methods to tackle renewables’ uncertainty. The selected power system is IEEE RTS 96. The UC models are used to assess the impact of different cybersecurity threats. The focus is to assess their impact on the total operating cost and the power grid adequacy to handle them. The comparison between the UC models shows that more robust UC models lead to higher total operating costs. The cost, unit dispatching, and energy mix evolution have a non-linear trend, depending on the power system characteristics and the cyberattacks types. However, the paper provides evidence of considerable price signals in the case of the examined cyberattacks. Each Transmission System Operator (TSO) should examine combinations of cyberattacks and operating conditions to identify crucial cases for system stability and power system cost operation. The applied methodology would also require substantial developments or supplementary approaches to assess cyberthreats at the distribution level.

Suggested Citation

  • Athanasios Dagoumas, 2019. "Assessing the Impact of Cybersecurity Attacks on Power Systems," Energies, MDPI, vol. 12(4), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:725-:d:208188
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/4/725/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/4/725/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dagoumas, Athanasios S. & Polemis, Michael L., 2017. "An integrated model for assessing electricity retailer’s profitability with demand response," Applied Energy, Elsevier, vol. 198(C), pages 49-64.
    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.
    3. Dagoumas, Athanasios S. & Koltsaklis, Nikolasos E. & Panapakidis, Ioannis P., 2017. "An integrated model for risk management in electricity trade," Energy, Elsevier, vol. 124(C), pages 350-363.
    4. Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Panapakidis, Ioannis P., 2017. "Impact of the penetration of renewables on flexibility needs," Energy Policy, Elsevier, vol. 109(C), pages 360-369.
    5. Sampath Kumar Venkatachary & Jagdish Prasad & Ravi Samikannu, 2017. "Economic Impacts of Cyber Security in Energy Sector: A Review," International Journal of Energy Economics and Policy, Econjournals, vol. 7(5), pages 250-262.
    6. Denise Tellbach & Yan-Fu Li, 2018. "Cyber-Attacks on Smart Meters in Household Nanogrid: Modeling, Simulation and Analysis," Energies, MDPI, vol. 11(2), pages 1-19, February.
    7. 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.
    8. Jarmakiewicz, Jacek & Parobczak, Krzysztof & Maślanka, Krzysztof, 2017. "Cybersecurity protection for power grid control infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 18(C), pages 20-33.
    9. repec:aen:journl:ej38-1-poudineh is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fei Zhao & Jinsha Yuan & Ning Wang & Zhang Zhang & Helong Wen, 2019. "Secure Load Frequency Control of Smart Grids under Deception Attack: A Piecewise Delay Approach," Energies, MDPI, vol. 12(12), pages 1-15, June.
    2. Marković, Filip & Kovačević, Ana, 2026. "Cyber threats and energy security: Development and analysis of an incident dataset for the period 2022–2024," Energy Policy, Elsevier, vol. 208(C).
    3. Berghout, Tarek & Benbouzid, Mohamed & Muyeen, S.M., 2022. "Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
    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. Martin Onyeka Okoye & Junyou Yang & Zhenjiang Lei & Jingwei Yuan & Huichao Ji & Haixin Wang & Jiawei Feng & Tunmise Ayode Otitoju & Weidong Li, 2020. "Predictive Reliability Assessment of Generation System," Energies, MDPI, vol. 13(17), pages 1-13, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nikolaos Koltsaklis & Athanasios Dagoumas, 2018. "Policy Implications of Power Exchanges on Operational Scheduling: Evaluating EUPHEMIA’s Market Products in Case of Greece," Energies, MDPI, vol. 11(10), pages 1-26, October.
    2. Panagiotis Adraktas & Athanasios Dagoumas, 2019. "Integration of Electric Vehicles in the Unit Commitment Problem with Uncertain Renewable Electricity Generation," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 315-333.
    3. repec:eco:journ2:2017-04-08 is not listed on IDEAS
    4. Dagoumas, Athanasios & Polemis, Michael, 2018. "Analysing Carbon Pass-Through Rate Mechanism in the Electricity Sector: Evidence from Greece," MPRA Paper 91067, University Library of Munich, Germany.
    5. Nikolaos E. Koltsaklis & Athanasios S. Dagoumas, 2021. "A power system scheduling model with carbon intensity and ramping capacity constraints," Operational Research, Springer, vol. 21(1), pages 647-687, March.
    6. Ioannis Panapakidis & Nikolaos Asimopoulos & Athanasios Dagoumas & Georgios C. Christoforidis, 2017. "An Improved Fuzzy C-Means Algorithm for the Implementation of Demand Side Management Measures," Energies, MDPI, vol. 10(9), pages 1-42, September.
    7. Komorowska, Aleksandra & Benalcazar, Pablo & Kaszyński, Przemysław & Kamiński, Jacek, 2020. "Economic consequences of a capacity market implementation: The case of Poland," Energy Policy, Elsevier, vol. 144(C).
    8. Megan Culler & Hannah Burroughs, 2021. "Cybersecurity Considerations for Grid-Connected Batteries with Hardware Demonstrations," Energies, MDPI, vol. 14(11), pages 1-20, May.
    9. Hussain, Shahbaz & Hernandez Fernandez, Javier & Al-Ali, Abdulla Khalid & Shikfa, Abdullatif, 2021. "Vulnerabilities and countermeasures in electrical substations," International Journal of Critical Infrastructure Protection, Elsevier, vol. 33(C).
    10. Marković, Filip & Kovačević, Ana, 2026. "Cyber threats and energy security: Development and analysis of an incident dataset for the period 2022–2024," Energy Policy, Elsevier, vol. 208(C).
    11. Laureen Deman & Quentin Boucher & Sonia Djebali & Guillaume Guerard & C?dric Clastres, 2023. "Bidding strategy of storage hydropower plants in reserve markets," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2023(2), pages 77-101.
    12. Rao Faizan Ali & P.D.D. Dominic & Kashif Ali, 2020. "Organizational Governance, Social Bonds and Information Security Policy Compliance: A Perspective towards Oil and Gas Employees," Sustainability, MDPI, vol. 12(20), pages 1-27, October.
    13. Russo, Marianna & Bertsch, Valentin, 2020. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Energy Economics, Elsevier, vol. 92(C).
    14. Chinyere Iheoma Erondu & Udochukwu Iheanacho Erondu, 2023. "The Role of Cyber security in a Digitalizing Economy: A Development Perspective," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(11), pages 1558-1570, November.
    15. Mararakanye, Ndamulelo & Bekker, Bernard, 2019. "Renewable energy integration impacts within the context of generator type, penetration level and grid characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 441-451.
    16. Allard, Stéphane & Debusschere, Vincent & Mima, Silvana & Quoc, Tuan Tran & Hadjsaid, Nouredine & Criqui, Patrick, 2020. "Considering distribution grids and local flexibilities in the prospective development of the European power system by 2050," Applied Energy, Elsevier, vol. 270(C).
    17. Houssem Rafik Al-Hana Bouchekara & Mohammad Shoaib Shahriar & Muhammad Sharjeel Javaid & Yusuf Abubakar Sha’aban & Makbul Anwari Muhammad Ramli, 2021. "Multi-Objective Optimization of a Hybrid Nanogrid/Microgrid: Application to Desert Camps in Hafr Al-Batin," Energies, MDPI, vol. 14(5), pages 1-24, February.
    18. Yang, Haolin & Schell, Kristen R., 2022. "GHTnet: Tri-Branch deep learning network for real-time electricity price forecasting," Energy, Elsevier, vol. 238(PC).
    19. Russo, Marianna & Kraft, Emil & Bertsch, Valentin & Keles, Dogan, 2022. "Short-term risk management of electricity retailers under rising shares of decentralized solar generation," Energy Economics, Elsevier, vol. 109(C).
    20. Guo, Bowei & Weeks, Melvyn, 2022. "Dynamic tariffs, demand response, and regulation in retail electricity markets," Energy Economics, Elsevier, vol. 106(C).
    21. Zhang, Yuanyuan & Zhao, Huiru & Li, Bingkang & Zhao, Yihang & Qi, Ze, 2022. "Research on credit rating and risk measurement of electricity retailers based on Bayesian Best Worst Method-Cloud Model and improved Credit Metrics model in China's power market," Energy, Elsevier, vol. 252(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:4:p:725-:d:208188. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.