4.5 Article

Electricity Load Lost in the Largest Windstorms-Is the Fragility-Based Model up to the Task?

期刊

ENERGIES
卷 16, 期 15, 页码 -

出版社

MDPI
DOI: 10.3390/en16155678

关键词

distribution grid; windstorm; lost load; repair time

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Most existing models for estimating electric system impacts from windstorms tend to have a detailed representation of only the electric or meteorological system. This study explores the evidence of a fragility-based model's ability to generate realistic spatiotemporal lost load profiles for impactful windstorm cases in Finland. The analysis of interruption data for thirteen years shows that most faults fall within the 20% uncertainty bounds of severity-dependent distribution trendlines. The generated profiles recreate historic profiles within an error margin of approximately 20%.
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%.

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