Electricity Load Lost in the Largest Windstorms—Is the Fragility-Based Model up to the Task?
Justinas Jasiūnas (),
Ilona Láng-Ritter,
Tatu Heikkinen and
Peter D. Lund ()
Additional contact information
Justinas Jasiūnas: School of Science, Aalto University, P.O. Box 15100, 00076 Espoo, Finland
Ilona Láng-Ritter: Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Tatu Heikkinen: School of Science, Aalto University, P.O. Box 15100, 00076 Espoo, Finland
Peter D. Lund: School of Science, Aalto University, P.O. Box 15100, 00076 Espoo, Finland
Energies, 2023, vol. 16, issue 15, 1-23
Abstract:
Most existing models for estimating electric system impacts from windstorms tend to have detailed representation only for the electric or only for the meteorological system. As a result, there is little evidence on how models with detailed electric systems and realistic wind gust field representations would perform in different windstorm cases. This work explores the evidence for the ability of such a fragility-based model to generate realistic spatiotemporal lost load profiles for the most impactful windstorm cases in Finland. The literature review shows multiple driving factors for windstorm impacts that are difficult to assess analytically, and similarities between the most impactful windstorms. All the available interruption data for thirteen years were analyzed, with their grouping by individual storm and calm periods. The fixing of time distribution fits for these periods show most faults as being within the 20% uncertainty bounds of the severity-dependent distribution trendlines. The medium-voltage electricity grid impact model with national coverage was applied for the three most impactful and most recent windstorm cases, with the model calibrated for one case. The generated spatiotemporal lost load profiles in all cases recreate historic profiles within the similar error margins of approximately 20%.
Keywords: distribution grid; windstorm; lost load; repair time (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:15:p:5678-:d:1205276
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