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Resilience of electric grid to extreme wind: Considering local details at national scale

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  • JasiÅ«nas, Justinas
  • Heikkinen, Tatu
  • Lund, Peter D.
  • Láng-Ritter, Ilona

Abstract

A small number of the strongest windstorms can account for a major share of power interruptions. In addition to large direct costs, such windstorms may shift the strategic direction of the energy system development. Thus, future system planning may benefit from a better understanding of the energy system resilience against the largest historical and historically unprecedented, but meteorologically plausible windstorms. Present analysis tools handling power disruptions tend to focus either on transmission grids or small distribution grids. However, neither focus captures well impacts concentrated on the distribution level over large area that includes high variety of grids and environments. This paper presents a fragility-based power disruption model against windstorms on a national scale with details on the local medium voltage grid. The model integrates synthetically generated power grids and consumption profiles with fragility functions and windstorm severity dependent fixing times. Grids are generated by spatial mapping of the grid component totals for each distribution grid operator onto municipalities and assuming symmetrical grid topologies within the municipalities. The model is applied to reproduce the national lost load profile for year 2011 winter windstorms in Finland. The modeled profile reproduces the historical reference data with a RMSE of 9% of the outage peak.

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  • JasiÅ«nas, Justinas & Heikkinen, Tatu & Lund, Peter D. & Láng-Ritter, Ilona, 2023. "Resilience of electric grid to extreme wind: Considering local details at national scale," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    • Handle: RePEc:eee:reensy:v:232:y:2023:i:c:s0951832022006858
    DOI: 10.1016/j.ress.2022.109070
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    1. Giuditta Pisano & Nayeem Chowdhury & Massimiliano Coppo & Nicola Natale & Giacomo Petretto & Gian Giuseppe Soma & Roberto Turri & Fabrizio Pilo, 2019. "Synthetic Models of Distribution Networks Based on Open Data and Georeferenced Information," Energies, MDPI, vol. 12(23), pages 1-24, November.
    2. Roshanak Nateghi & Seth Guikema & Steven M. Quiring, 2014. "Power Outage Estimation for Tropical Cyclones: Improved Accuracy with Simpler Models," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1069-1078, June.
    3. Xue, Jiayue & Mohammadi, Farshad & Li, Xin & Sahraei-Ardakani, Mostafa & Ou, Ge & Pu, Zhaoxia, 2020. "Impact of transmission tower-line interaction to the bulk power system during hurricane," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    4. Väinö Nurmi & Karoliina Pilli-Sihvola & Hilppa Gregow & Adriaan Perrels, 2019. "Overadaptation to Climate Change? The Case of the 2013 Finnish Electricity Market Act," Economics of Disasters and Climate Change, Springer, vol. 3(2), pages 161-190, July.
    5. Hughes, William & Zhang, Wei & Cerrai, Diego & Bagtzoglou, Amvrossios & Wanik, David & Anagnostou, Emmanouil, 2022. "A Hybrid Physics-Based and Data-Driven Model for Power Distribution System Infrastructure Hardening and Outage Simulation," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    6. Mishra, Dillip Kumar & Ghadi, Mojtaba Jabbari & Azizivahed, Ali & Li, Li & Zhang, Jiangfeng, 2021. "A review on resilience studies in active distribution systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    7. Bao, Minglei & Ding, Yi & Sang, Maosheng & Li, Daqing & Shao, Changzheng & Yan, Jinyue, 2020. "Modeling and evaluating nodal resilience of multi-energy systems under windstorms," Applied Energy, Elsevier, vol. 270(C).
    8. Zhai, Chengwei & Chen, Thomas Ying-jeh & White, Anna Grace & Guikema, Seth David, 2021. "Power outage prediction for natural hazards using synthetic power distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    9. Winkler, James & Dueñas-Osorio, Leonardo & Stein, Robert & Subramanian, Devika, 2010. "Performance assessment of topologically diverse power systems subjected to hurricane events," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 323-336.
    10. Scherb, Anke & Garrè, Luca & Straub, Daniel, 2019. "Evaluating component importance and reliability of power transmission networks subject to windstorms: methodology and application to the nordic grid," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    11. D. Brent McRoberts & Steven M. Quiring & Seth D. Guikema, 2018. "Improving Hurricane Power Outage Prediction Models Through the Inclusion of Local Environmental Factors," Risk Analysis, John Wiley & Sons, vol. 38(12), pages 2722-2737, December.
    12. Ma, Liyang & Christou, Vasileios & Bocchini, Paolo, 2022. "Framework for probabilistic simulation of power transmission network performance under hurricanes," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    13. Fernando E. Postigo Marcos & Carlos Mateo Domingo & Tomás Gómez San Román & Bryan Palmintier & Bri-Mathias Hodge & Venkat Krishnan & Fernando De Cuadra García & Barry Mather, 2017. "A Review of Power Distribution Test Feeders in the United States and the Need for Synthetic Representative Networks," Energies, MDPI, vol. 10(11), pages 1-14, November.
    14. Jufri, Fauzan Hanif & Widiputra, Victor & Jung, Jaesung, 2019. "State-of-the-art review on power grid resilience to extreme weather events: Definitions, frameworks, quantitative assessment methodologies, and enhancement strategies," Applied Energy, Elsevier, vol. 239(C), pages 1049-1065.
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