Research Data for "A Two-Stage Resilient Restoration Framework for Large-Scale Urban Electric Power Infrastructure Systems under Extreme Hurricane Events Considering Social Vulnerability and Economic Factors"
Description
This repository contains the research data accompanying the study “A Two-Stage Resilient Restoration Framework for Large-Scale Urban Electric Power Infrastructure Systems under Extreme Hurricane Events Considering Social Vulnerability and Economic Factors.” The dataset is organized into two main parts: hurricane hazard data and synthetic power distribution network data for large-scale urban electric power infrastructure systems. The hurricane data are sourced from the International Best Track Archive for Climate Stewardship (IBTrACS) and can be accessed at the National Centers for Environmental Information (NCEI): https://www.ncei.noaa.gov/products/international-best-track-archive . For details on IBTrACS, please refer to: Knapp, K. R., M. C. Kruk, D. H. Levinson, H. J. Diamond, and C. J. Neumann, 2010: The International Best Track Archive for Climate Stewardship (IBTrACS): Unifying tropical cyclone best track data. Bulletin of the American Meteorological Society, 91, 363–376. doi:10.1175/2009BAMS2755.1. The power grid data are synthetically generated following the methodology proposed in our previous work on large-scale synthetic distribution networks under historical hurricane hazards: S. Li, S. Wang, Q. Zhao, D. Liu and C. K. Tse, “A Risk Assessment Framework for Large-Scale Synthetic Power Distribution Networks Considering Historical Hurricane Disasters,” IEEE Transactions on Power Systems, vol. 40, no. 5, pp. 3846–3858, Sept. 2025, doi:10.1109/TPWRS.2025.3530401. Together, these data enable quantitative analysis of grid resilience, restoration strategies, and risk assessment under extreme hurricane events, while explicitly incorporating social vulnerability and economic factors to support more equitable and cost-effective decision-making in urban power system planning and operation.
Files
Steps to reproduce
The analyses and results associated with this dataset can be reproduced by following the modeling, simulation, and restoration procedures described in the paper “A Two-Stage Resilient Restoration Framework for Large-Scale Urban Electric Power Infrastructure Systems under Extreme Hurricane Events Considering Social Vulnerability and Economic Factors”. Cite: H. Yam, S. Li, S. Wang, K. Fang, and D. Liu, “A two-stage resilient restoration framework for large-scale urban electric infrastructure systems under extreme hurricane disasters considering social vulnerability and economic factors,” Reliability Engineering & System Safety, vol. 272, p. 112595, 2026. doi: 10.1016/j.ress.2026.112595.
Institutions
- Tianjin UniversityTianjin, Tianjin