Abstract
This article proposes a robust emergency preparedness planning (EPP) scheme to optimally pre-position diverse mobile emergency resources (MERs) in staging locations and perform proactive network reconfiguration for resilience enhancement of energy-transportation nexus (ETN) against extreme rainfalls. Based on rainfall-runoff simulation with hydrodynamic partial differential equations, a risk identification approach for flood-prone transportation modeling is developed for vehicle travel time estimation and MER routing optimization. To handle uncertainties in line outages and flooded roads incurred by extreme rainfalls, a tri-level robust EPP model is proposed to determine the optimal emergency preparedness plan immunized against the worst-case realization of uncertainties. Furthermore, a tailored solution method combining nested column-and-constraint generation algorithm with multiple linearization techniques is devised to cope with the proposed nonlinear robust EPP model. Comparative studies have validated the effectiveness of the proposed scheme for resilience enhancement of the ETN confronted with extreme rainfall disasters.
Original language | English |
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Pages (from-to) | 1196 - 1207 |
Number of pages | 12 |
Journal | IEEE Transactions on Industry Applications |
Volume | 60 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 2024 |
Keywords
- disaster preparedness
- Energy-transportation nexus
- extreme rainfall
- Floods
- Mathematical models
- mobile emergency resources
- optimal proactive planning
- Planning
- Resilience
- Roads
- Transportation
- Uncertainty
ASJC Scopus subject areas
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering