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. Included is an example case study: Hurricane Dolly damaging a synthetic 2000 bus test system during its landing in Southern Texas. 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 including emergency asset management. We perform statistical analysis of damages and quantify topological effects on example synthetic grid. Also, we investigate loss-of-load events during two-day economic dispatch experiment. Finally, we point out various shortcomings of our method and suggest how it can be improved.
Original language | American English |
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Number of pages | 8 |
State | Published - 2022 |
Event | IEEE Power and Energy Society Transmission and Distribution Conference and Exposition (IEEE PES T&D) - New Orleans, Louisiana Duration: 25 Apr 2022 → 28 Apr 2022 |
Conference
Conference | IEEE Power and Energy Society Transmission and Distribution Conference and Exposition (IEEE PES T&D) |
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City | New Orleans, Louisiana |
Period | 25/04/22 → 28/04/22 |
Bibliographical note
See NREL/CP-2C00-83849 for paper as published in proceedingsNREL Publication Number
- NREL/CP-2C00-80639
Keywords
- contingencies
- data-driven forecasting
- fragility curve
- hurricane damages
- risk quantification
- scenario-based optimization
- transmission grid planning