Abstract
Energy systems, e.g., power systems and natural gas systems, are increasingly interdependent, which brings benefits under normal conditions and introduces risks under extreme weather events, e.g., hurricanes. A comprehensive method is proposed to reflect the spatial-temporal hurricane impacts on interdependent power and natural gas systems. Mechanism analysis based and data based component failure models are used to map hurricane effects on exposed component failure probabilities based on which system states are generated using Monte Carlo simulation. For system states with failed components, the integrated energy flow is developed to determine minimum joint load shedding considering inherent properties of each system and characteristics of interdependence coordinately. Operational metrics and infrastructure metrics are employed to quantify the service adequacy and network resistance of the interdependent energy systems, respectively. The modified IEEE 24-reliability test system and the 12-node natural gas system under a simulated hurricane are used to validate the effectiveness of the proposed method. Simulation results show the method can identify weak parts and quantify the performance of interdependent power and natural gas systems under hurricanes to provide information for effective and coordinative preparedness.
| Original language | English |
|---|---|
| Article number | 8998336 |
| Pages (from-to) | 3682-3694 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Power Systems |
| Volume | 35 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 2020 |
| Externally published | Yes |
Keywords
- component failure
- hurricane
- integrated energy flow
- interdependence
- resilience
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