IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i3p1452-d1054167.html
   My bibliography  Save this article

IEC 62443 Standard for Hydro Power Plants

Author

Listed:
  • Jessica B. Heluany

    (Department of Information Security and Communication Technology, Norwegian University of Science and Technology, 2815 Gjøvik, Norway)

  • Ricardo Galvão

    (PECE—Industrial Automation, University of São Paulo, São Paulo 2373, Brazil)

Abstract

This study approaches cyber security in industrial environments focusing on hydro power plants, since they are part of the critical infrastructure and are the main source of renewable energy in some countries. The theoretical study case follows the standard IEC 62443-2-1 to implement a cyber security management system (CSMS) in a hydro power plant with two generation units. The CSMS is composed of six steps: (1) initiate CSMS, (2) high level risk assessment, (3) detailed risk assessment, (4) establish policies, procedures, and awareness, (5) select and implement countermeasures, and (6) maintain the CSMS. To perform the high-level risk assessment, an overview of the most common activities and vulnerabilities in hydro power plants systems is presented. After defining the priorities, the detailed risk assessment is performed based on a HAZOP risk analysis methodology focusing on hackable digital assets (cyber-HAZOP). The analysis of the cyber-HAZOP assessment leads to mitigations of the cyber risks that are addressed proposing modifications in the automation architecture, and this also involves checking lists to be used by the stakeholders during the implementation of the solution, emphasizing security configurations in digital assets groups.

Suggested Citation

  • Jessica B. Heluany & Ricardo Galvão, 2023. "IEC 62443 Standard for Hydro Power Plants," Energies, MDPI, vol. 16(3), pages 1-16, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1452-:d:1054167
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/3/1452/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/3/1452/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yangrong Chen & June Li & Qiuyu Lu & Hai Lin & Yu Xia & Fuyang Li, 2021. "Cyber Security for Multi-Station Integrated Smart Energy Stations: Architecture and Solutions," Energies, MDPI, vol. 14(14), pages 1-20, July.
    2. Turki Alsuwian & Aiman Shahid Butt & Arslan Ahmed Amin, 2022. "Smart Grid Cyber Security Enhancement: Challenges and Solutions—A Review," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    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. Crescenzo Pepe & Silvia Maria Zanoli, 2024. "Digitalization, Industry 4.0, Data, KPIs, Modelization and Forecast for Energy Production in Hydroelectric Power Plants: A Review," Energies, MDPI, vol. 17(4), pages 1-35, February.
    2. Mohamed Alzarooni & Abdul Ghani Olabi & Montaser Mahmoud & Safaa Alzubaidi & Mohammad Ali Abdelkareem, 2023. "Study on Improving the Energy Efficiency of a Building: Utilization of Daylight through Solar Film Sheets," Energies, MDPI, vol. 16(21), pages 1-17, October.

    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. Chankook Park & Wan Gyu Heo & Myung Eun Lee, 2024. "Study on Consumers’ Perceived Benefits and Risks of Smart Energy System," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 288-300, May.
    2. Sheeraz Kirmani & Abdul Mazid & Irfan Ahmad Khan & Manaullah Abid, 2022. "A Survey on IoT-Enabled Smart Grids: Technologies, Architectures, Applications, and Challenges," Sustainability, MDPI, vol. 15(1), pages 1-26, December.
    3. Wadim Strielkowski & Andrey Vlasov & Kirill Selivanov & Konstantin Muraviev & Vadim Shakhnov, 2023. "Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review," Energies, MDPI, vol. 16(10), pages 1-31, May.
    4. Jacek Strojny & Anna Krakowiak-Bal & Jarosław Knaga & Piotr Kacorzyk, 2023. "Energy Security: A Conceptual Overview," Energies, MDPI, vol. 16(13), pages 1-35, June.
    5. Smitha Joyce Pinto & Pierluigi Siano & Mimmo Parente, 2023. "Review of Cybersecurity Analysis in Smart Distribution Systems and Future Directions for Using Unsupervised Learning Methods for Cyber Detection," Energies, MDPI, vol. 16(4), pages 1-24, February.

    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:16:y:2023:i:3:p:1452-:d:1054167. 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.