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Risk Analysis of Electricity Supply

In: Risk and Interdependencies in Critical Infrastructures

Author

Listed:
  • Gerd Kjølle

    (SINTEF Energy Research)

  • Oddbjørn Gjerde

    (SINTEF Energy Research)

Abstract

Society is critically dependent on a reliable electricity supply to maintain its functionality. Electricity supply interruptions lead to direct consequences for the electricity users and will in general have an impact on dependent infrastructures and their services. This chapter describes a quantitative analytical approach for risk analysis of electricity supply. In this approach, the consequences of failures in the electricity system are analysed in terms of electricity supply interruptions to delivery points (DPs) serving for instance societal critical functions or other infrastructures. In a cross-sector risk analysis, this approach can be used in a detailed analysis for instance as input to cascade diagrams in the risk analysis of cascading failures and interdependencies with other infrastructures.

Suggested Citation

  • Gerd Kjølle & Oddbjørn Gjerde, 2012. "Risk Analysis of Electricity Supply," Springer Series in Reliability Engineering, in: Per Hokstad & Ingrid B. Utne & Jørn Vatn (ed.), Risk and Interdependencies in Critical Infrastructures, edition 127, chapter 0, pages 95-108, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-4471-4661-2_7
    DOI: 10.1007/978-1-4471-4661-2_7
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    Citations

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    Cited by:

    1. Rahmatallah Poudineh and Tooraj Jamasb, 2017. "Electricity Supply Interruptions: Sectoral Interdependencies and the Cost of Energy Not Served for the Scottish Economy," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    2. Samiul Hasan & Greg Foliente, 2015. "Modeling infrastructure system interdependencies and socioeconomic impacts of failure in extreme events: emerging R&D challenges," 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. 78(3), pages 2143-2168, September.
    3. Ouyang, Min & Pan, ZheZhe & Hong, Liu & He, Yue, 2015. "Vulnerability analysis of complementary transportation systems with applications to railway and airline systems in China," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 248-257.
    4. Mendonça, David & Wallace, William A., 2015. "Factors underlying organizational resilience: The case of electric power restoration in New York City after 11 September 2001," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 83-91.
    5. Guibing, Gao & Wenhui, Yue & Wenchu, Ou & Hao, Tang, 2018. "Vulnerability evaluation method applied to manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 255-265.
    6. Stergiopoulos, George & Kotzanikolaou, Panayiotis & Theocharidou, Marianthi & Lykou, Georgia & Gritzalis, Dimitris, 2016. "Time-based critical infrastructure dependency analysis for large-scale and cross-sectoral failures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 12(C), pages 46-60.
    7. Ouyang, Min, 2014. "Review on modeling and simulation of interdependent critical infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 43-60.
    8. Vennemo, Haakon & Rosnes, Orvika & Skulstad, Andreas, 2022. "The cost to households of a large electricity outage," Energy Economics, Elsevier, vol. 116(C).
    9. Sperstad, Iver Bakken & Kjølle, Gerd H. & Gjerde, Oddbjørn, 2020. "A comprehensive framework for vulnerability analysis of extraordinary events in power systems," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    10. Bhandari, Pratik & Creighton, Douglas & Gong, Jinzhe & Boyle, Carol & Law, Kris M.Y., 2023. "Evolution of cyber-physical-human water systems: Challenges and gaps," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    11. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching & Tzeng, Gwo-Hshiung, 2020. "A new soft computing approach for analyzing the influential relationships of critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    12. Márcio das Chagas Moura & Helder Henrique Lima Diniz & Enrique López Droguett & Beatriz Sales da Cunha & Isis Didier Lins & Vicente Ribeiro Simoni, 2017. "Embedding resilience in the design of the electricity supply for industrial clients," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-33, November.
    13. Shoki Kosai & Chia Kwang Tan & Eiji Yamasue, 2018. "Evaluating Power Reliability Dedicated for Sudden Disruptions: Its Application to Determine Capacity on the Basis of Energy Security," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    14. Dogbe, Wisdom, 2023. "An resilience analysis of the contraction of the accommodation and food service on the Scottish food industry," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334529, Agricultural Economics Society - AES.
    15. Suo, Weilan & Wang, Lin & Li, Jianping, 2021. "Probabilistic risk assessment for interdependent critical infrastructures: A scenario-driven dynamic stochastic model," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    16. Jose R. Vargas-Jaramillo & Jhon A. Montanez-Barrera & Michael R. von Spakovsky & Lamine Mili & Sergio Cano-Andrade, 2019. "Effects of Producer and Transmission Reliability on the Sustainability Assessment of Power System Networks," Energies, MDPI, vol. 12(3), pages 1-21, February.
    17. Veldhuis, Anton Johannes & Leach, Matthew & Yang, Aidong, 2018. "The impact of increased decentralised generation on the reliability of an existing electricity network," Applied Energy, Elsevier, vol. 215(C), pages 479-502.

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