Abstract
As extreme weather events become more frequent and intense, the demand for connecting grid operation and infrastructure planning with extreme event models will increase as well. We present a methodology for creating damage contingencies and scenarios for electric transmission grids during a hurricane strike. Using WIND Toolkit meteorological data in conjunction with fragility curves for various electric grid elements, we generate stochastic damage scenarios that can be used for short-and long-Term planning problems, e.g., emergency asset management. Included is an example case study: Hurricane Dolly damaging a synthetic 2000-bus test system during its landing in Southern Texas. We perform statistical analysis of damages and discuss topological effects on the example synthetic grid. Also, we include a cursory evaluation of impacts using simplified operational models. Finally, we discuss how our method can be extended to use even higher-fidelity meteorological data sets and suggest directions for future work.
Original language | American English |
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Number of pages | 5 |
DOIs | |
State | Published - 2022 |
Event | 2022 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2022 - New Orleans, United States Duration: 25 Apr 2022 → 28 Apr 2022 |
Conference
Conference | 2022 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2022 |
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Country/Territory | United States |
City | New Orleans |
Period | 25/04/22 → 28/04/22 |
Bibliographical note
See NREL/CP-2C00-80639 for preprintNREL Publication Number
- NREL/CP-2C00-83849
Keywords
- contingencies
- data-driven forecasting
- fragility curve
- hurricane damages
- risk quantification
- scenario-based optimization
- Transmission grid planning