We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Decision Support System to Enhance Electricity Grid Resilience against Flooding Disasters.
- Authors
Violante, Michael; Davani, Hassan; Manshadi, Saeed D.
- Abstract
Highlights: A decision support system framework based on network cost minimization is proposed to divert flood waters from flood-susceptible utility poles, thereby enhancing electricity grid resilience. This optimization framework is evaluated in three different watersheds in the United States using state-of-the-art mathematical optimization platforms, i.e., JuMP/Julia interface and the Gurobi solver. The results of this proposed optimization framework could provide adequate flood diversion capacity to prevent failure of utility poles. In different areas across the U.S., there are utility poles and other critical infrastructure that are vulnerable to flooding damage. The goal of this multidisciplinary research is to assess and minimize the probability of utility pole failure through conventional hydrological, hydrostatic, and geotechnical calculations embedded to a unique mixed integer linear programming (MILP) optimization framework. Once the flow rates that cause utility pole overturn are determined, the most cost-efficient subterranean pipe network configuration can be created that will allow for flood waters to be redirected from vulnerable infrastructure elements. The optimization framework was simulated using the Julia scientific programming language, for which the JuMP interface and Gurobi solver package were employed to solve a minimum cost network flow objective function given the numerous decision variables and constraints across the network. We implemented our optimization framework in three different watersheds across the U.S. These watersheds are located near Whittier, NC; Leadville, CO; and London, AR. The implementation of a minimum cost network flow optimization model within these watersheds produced results demonstrating that the necessary amount of flood waters could be conveyed away from utility poles to prevent failure by flooding.
- Subjects
ARABIAN Peninsula; DECISION support systems; MIXED integer linear programming; FLOOD warning systems; UTILITY poles; FLOOD damage; EMERGENCY management; INFRASTRUCTURE (Economics)
- Publication
Water (20734441), 2022, Vol 14, Issue 16, p2483
- ISSN
2073-4441
- Publication type
Article
- DOI
10.3390/w14162483