Abstract
In this paper we study a problem of hurricane emergency preparedness via placement of emergency generation assets prior to its strike. We present a two-stage stochastic model for choosing locations and quantities of emergency storage to help support the power grid through a hurricane event. The expectation of losses in our two-stage model is estimated using the sample average approximation. We construct damage scenarios for sample average approximation using WIND Toolkit meteorological data and fragility curves of various electric grid components. We demonstrate the efficacy of our two-stage planning model by simulating operations during Hurricane Dolly on the 2000-bus transmission test system. Our model, coupled with our scenario selection strategy, is effective at mitigating loss of load when compared to a model without emergency generation assets placed prior to an extreme event.
Original language | American English |
---|---|
Number of pages | 8 |
State | Published - 2023 |
Event | 2023 IEEE Power & Energy Society General Meeting - Orlando, Florida Duration: 16 Jul 2023 → 20 Jul 2023 |
Conference
Conference | 2023 IEEE Power & Energy Society General Meeting |
---|---|
City | Orlando, Florida |
Period | 16/07/23 → 20/07/23 |
NREL Publication Number
- NREL/CP-2C00-84712
Keywords
- emergency preparedness
- fragility curves
- hurricanes
- optimization
- storage
- transmission operation