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Title: Optimizing the location and configuration of disaster resilience hubs under transportation and electric power network failures

Journal Article · · Transportation Research Interdisciplinary Perspectives
 [1];  [1];  [2];  [2];  [1];  [1]
  1. Univ. of Puerto Rico, Mayaguez (Puerto Rico)
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
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Natural disasters often result in failures of transportation network components and blackouts that imperil the wellbeing of vulnerable populations. In response to these events, resilience hubs have been proposed as a pre-disaster planning strategy to improve access to critical services. This paper introduces an optimization-based approach to locate and configure electric power-generating resilience hubs considering the possibility of failures in transportation and electric power systems. The model's objective is to identify hub locations and configurations that maximize transportation accessibility to the hubs and maximize the satisfaction of basic energy needs through hub-generated electric power. Besides a budget constraint, the model accounts for limits on the levels of hub energy generation vis-à-vis community energy demands, and on the transportation network distance of communities to hubs. Three heuristics are presented for the proposed planning problem. The first heuristic is a genetic algorithm (GA) with problem-specific solution generation procedures. The other two heuristics implement greedy search techniques. Numerical experiments were conducted, using data from rural Puerto Rico, to illustrate the application of the proposed model and heuristics, and examine their performance. In the numerical experiments, the GA heuristic found better solutions than the greedy heuristics. Additionally, design solutions consisting of spatially dispersed hubs with low energy generation capacity were better than solutions with spatially concentrated high-capacity hubs. Lastly, across a wide range of hub demand scenarios, only a small number of candidate hub locations consistently ranked among the best locations for establishing a hub.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE; National Science Foundation (NSF)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
2341533
Report Number(s):
NREL/JA--5400-89393; MainId:90172; UUID:d04683e8-643a-48a1-bea3-af018e56272c; MainAdminId:72479
Journal Information:
Transportation Research Interdisciplinary Perspectives, Journal Name: Transportation Research Interdisciplinary Perspectives Vol. 24; ISSN 2590-1982
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (17)

An introduction to genetic algorithms journal August 1999
A fair division approach to humanitarian logistics inspired by conditional value-at-risk journal September 2016
An efficient constraint handling method for genetic algorithms journal June 2000
Prepositioning emergency earthquake response supplies: A new multi-objective particle swarm optimization algorithm journal May 2016
Prepositioning of assets and supplies in disaster operations management: Review and research gap identification journal July 2020
A robust disaster preparedness model for effective and fair disaster response journal January 2020
Facility location optimization model for emergency humanitarian logistics journal September 2017
Resiliency-oriented optimal scheduling of microgrids in the presence of demand response programs using a hybrid stochastic-robust optimization approach journal June 2021
On the appropriate objective function for post‐disaster humanitarian logistics models journal June 2013
Allocation of distributed generation units in electric power systems: A review journal April 2016
Prepositioning of supplies in preparation for a hurricane under potential destruction of prepositioned supplies journal March 2013
The logsum as an evaluation measure: Review of the literature and new results journal November 2007
Pre-positioning of emergency supplies for disaster response journal May 2010
Integration of genetic algorithms and GIS for optimal location search journal May 2005
Facility location in humanitarian relief journal February 2008
Humanitarian relief network design: Responsiveness maximization and a case study of Typhoon Rammasun journal June 2022
Hurricane Maria Effects on Puerto Rico Electric Power Infrastructure journal March 2019

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
accessibility
disasters
energy
facility location
resilience
transportation networks