IDEAS home Printed from https://ideas.repec.org/a/hin/complx/3597010.html
   My bibliography  Save this article

Sociotechnical Network Analysis for Power Grid Resilience in South Korea

Author

Listed:
  • Daniel A. Eisenberg
  • Jeryang Park
  • Thomas P. Seager

Abstract

International efforts to improve power grid resilience mostly focus on technological solutions to reduce the probability of losses by designing hardened, automated, redundant, and smart systems. However, how well a system recovers from failures depends on policies and protocols for human and organizational coordination that must be considered alongside technological analyses. In this work, we develop a sociotechnical network analysis that considers technological and human systems together to support improved blackout response. We construct corresponding infrastructure and social network models for the Korean power grid and analyze them with betweenness to identify critical infrastructures and emergency management organizations. Power grid network analysis reveals important power companies and emergency management headquarters for responding to infrastructure losses, where social network analysis reveals how information-sharing and decision-making authority shifts among these organizations. We find that separate analyses provide relevant yet incomplete recommendations for improving blackout management protocols. In contrast, combined results recommend explicit ways to improve response by connecting key owner, operator, and emergency management organizations with the Ministry of Trade, Industry, and Energy. Findings demonstrate that both technological and social analyses provide important information for power grid resilience, and their combination is necessary to avoid unintended consequences for future blackout events.

Suggested Citation

  • Daniel A. Eisenberg & Jeryang Park & Thomas P. Seager, 2017. "Sociotechnical Network Analysis for Power Grid Resilience in South Korea," Complexity, Hindawi, vol. 2017, pages 1-14, October.
  • Handle: RePEc:hin:complx:3597010
    DOI: 10.1155/2017/3597010
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2017/3597010.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/8503/2017/3597010.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2017/3597010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Alireza Abbasi & Naim Kapucu, 2016. "A longitudinal study of evolving networks in response to natural disaster," Computational and Mathematical Organization Theory, Springer, vol. 22(1), pages 47-70, March.
    2. Martí Rosas-Casals & Sandro Bologna & Ettore F. Bompard & Gregorio D'Agostino & Wendy Ellens & Giuliano Andrea Pagani & Antonio Scala & Trivik Verma, 2015. "Knowing power grids and understanding complexity science," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 11(1), pages 4-14.
    3. Kyujin Jung & Minsun Song, 2015. "Linking emergency management networks to disaster resilience: bonding and bridging strategy in hierarchical or horizontal collaboration networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1465-1483, July.
    4. Boris Petrenj & Emanuele Lettieri & Paolo Trucco, 2012. "Towards enhanced collaboration and information sharing for critical infrastructure resilience: current barriers and emerging capabilities," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 8(2/3), pages 107-120.
    5. Ettore Bompard & Lingen Luo & Enrico Pons, 2015. "A perspective overview of topological approaches for vulnerability analysis of power transmission grids," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 11(1), pages 15-26.
    6. Kim, Dong Hwan & Eisenberg, Daniel A. & Chun, Yeong Han & Park, Jeryang, 2017. "Network topology and resilience analysis of South Korean power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 13-24.
    7. Ngar-yin Mah, Daphne & van der Vleuten, Johannes Marinus & Chi-man Ip, Jasper & Ronald Hills, Peter, 2012. "Governing the transition of socio-technical systems: A case study of the development of smart grids in Korea," Energy Policy, Elsevier, vol. 45(C), pages 133-141.
    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. Jonatan Zischg & Christopher Klinkhamer & Xianyuan Zhan & P. Suresh C. Rao & Robert Sitzenfrei, 2019. "A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City," Complexity, Hindawi, vol. 2019, pages 1-16, January.
    2. Fredy Tantri & Sulfikar Amir, 2019. "Modeling a Simulation for Sociotechnical Resilience," Complexity, Hindawi, vol. 2019, pages 1-11, December.
    3. Julien Walzberg & Annika Eberle, 2023. "Modeling Systems’ Disruption and Social Acceptance—A Proof-of-Concept Leveraging Reinforcement Learning," Sustainability, MDPI, vol. 15(13), pages 1-13, June.

    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. Abedi, Amin & Gaudard, Ludovic & Romerio, Franco, 2019. "Review of major approaches to analyze vulnerability in power system," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 153-172.
    2. Lei Du & Yingbin Feng & Li Yaning Tang & Wei Kang & Wei Lu, 2020. "Networks in disaster emergency management: a systematic review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1-27, August.
    3. Lucas Cuadra & Sancho Salcedo-Sanz & Javier Del Ser & Silvia Jiménez-Fernández & Zong Woo Geem, 2015. "A Critical Review of Robustness in Power Grids Using Complex Networks Concepts," Energies, MDPI, vol. 8(9), pages 1-55, August.
    4. Lucas Cuadra & Miguel Del Pino & José Carlos Nieto-Borge & Sancho Salcedo-Sanz, 2017. "Optimizing the Structure of Distribution Smart Grids with Renewable Generation against Abnormal Conditions: A Complex Networks Approach with Evolutionary Algorithms," Energies, MDPI, vol. 10(8), pages 1-31, July.
    5. Dirk Helbing & Farzam Fanitabasi & Fosca Giannotti & Regula Hänggli & Carina I. Hausladen & Jeroen van den Hoven & Sachit Mahajan & Dino Pedreschi & Evangelos Pournaras, 2021. "Ethics of Smart Cities: Towards Value-Sensitive Design and Co-Evolving City Life," Sustainability, MDPI, vol. 13(20), pages 1-25, October.
    6. Chou, Jui-Sheng & Gusti Ayu Novi Yutami, I, 2014. "Smart meter adoption and deployment strategy for residential buildings in Indonesia," Applied Energy, Elsevier, vol. 128(C), pages 336-349.
    7. Hannah Carver & Tracey Price & Danilo Falzon & Peter McCulloch & Tessa Parkes, 2022. "Stress and Wellbeing during the COVID-19 Pandemic: A Mixed-Methods Exploration of Frontline Homelessness Services Staff Experiences in Scotland," IJERPH, MDPI, vol. 19(6), pages 1-20, March.
    8. Chenxi Lian & Jian Wang, 2024. "Multi-actor cooperation for emergency supply support: a simulation of behavior diffusion based on social networks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(2), pages 1241-1262, January.
    9. Norouzi, F. & Hoppe, T. & Kamp, L.M. & Manktelow, C. & Bauer, P., 2023. "Diagnosis of the implementation of smart grid innovation in The Netherlands and corrective actions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    10. Fauzan Hanif Jufri & Jun-Sung Kim & Jaesung Jung, 2017. "Analysis of Determinants of the Impact and the Grid Capability to Evaluate and Improve Grid Resilience from Extreme Weather Event," Energies, MDPI, vol. 10(11), pages 1-17, November.
    11. Ford, Rebecca & Walton, Sara & Stephenson, Janet & Rees, David & Scott, Michelle & King, Geoff & Williams, John & Wooliscroft, Ben, 2017. "Emerging energy transitions: PV uptake beyond subsidies," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 138-150.
    12. Tio, Adonis E. & Hill, David J. & Ma, Jin, 2020. "Can graph properties determine future grid adequacy for power injection diversity?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    13. David J. Yu & Michael L. Schoon & Jason K. Hawes & Seungyoon Lee & Jeryang Park & P. Suresh C. Rao & Laura K. Siebeneck & Satish V. Ukkusuri, 2020. "Toward General Principles for Resilience Engineering," Risk Analysis, John Wiley & Sons, vol. 40(8), pages 1509-1537, August.
    14. Gianluca Fulli & Marcelo Masera & Catalin Felix Covrig & Francesco Profumo & Ettore Bompard & Tao Huang, 2017. "The EU Electricity Security Decision-Analytic Framework: Status and Perspective Developments," Energies, MDPI, vol. 10(4), pages 1-20, March.
    15. Yanshan Yu & Jin Yang & Bin Chen, 2012. "The Smart Grids in China—A Review," Energies, MDPI, vol. 5(5), pages 1-18, May.
    16. Ferrario, E. & Poulos, A. & Castro, S. & de la Llera, J.C. & Lorca, A., 2022. "Predictive capacity of topological measures in evaluating seismic risk and resilience of electric power networks," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    17. Ghafory-Ashtiany, Mohsen & Arghavani, Mahban, 2022. "Physical performance of power grids against earthquakes: from framework to implementation," International Journal of Critical Infrastructure Protection, Elsevier, vol. 39(C).
    18. Erlinghagen, Sabine & Markard, Jochen, 2012. "Smart grids and the transformation of the electricity sector: ICT firms as potential catalysts for sectoral change," Energy Policy, Elsevier, vol. 51(C), pages 895-906.
    19. Aditi Khodke & Atsushi Watabe & Nigel Mehdi, 2021. "Implementation of Accelerated Policy-Driven Sustainability Transitions: Case of Bharat Stage 4 to 6 Leapfrogs in India," Sustainability, MDPI, vol. 13(8), pages 1-25, April.
    20. Chen, Chong & Zhou, Xuan & Li, Zhuo & He, Zhiheng & Li, Zhengtian & Lin, Xiangning, 2018. "Novel complex network model and its application in identifying critical components of power grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 316-329.

    More about this item

    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:hin:complx:3597010. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.