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Sociotechnical Network Analysis for Power Grid Resilience in South Korea

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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.
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    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. 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.
    3. Fredy Tantri & Sulfikar Amir, 2019. "Modeling a Simulation for Sociotechnical Resilience," Complexity, Hindawi, vol. 2019, pages 1-11, December.

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