Optimization of scenario construction for loss estimation in lifeline networks

Brown,; Gearhart,; Jones, Jones; Nozick,; Romero,; Xu, Haiyun

doi:10.1109/wsc.2011.6147889

Cited by 5 publications

(8 citation statements)

References 7 publications

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“…Similar scenario generation methods were also adopted by Peeta et al (2010) to strengthen the Istanbul highway network against earthquakes, and by Liu, Fan, and Ordóñez (2009) to allocate limited seismic retrofit resources for the Alameda road network, and also by L. Chang et al (2012) to prioritize seismic retrofit strategies for the Memphis road network. Romero et al (2015) adopted an optimization-based method introduced by Brown et al (2011) to generate a limited number of component damage scenarios with different occurrence probabilities, and then reformulated the seismic retrofit problem as a knapsack model. Other techniques have also been applied to solve the retrofit or hardening problem.…”

Section: Introductionmentioning

confidence: 99%

A heuristic method to identify optimum seismic retrofit strategies for critical infrastructure systems

Liu

Ouyang

Wang

et al. 2021

Computer aided Civil Eng

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Retrofitting critical components of a critical infrastructure system to improve its seismic performance has been considered as the most frequently used mitigation strategy in both literature and practice. This article mainly studies this mitigation strategy and formulates the seismic retrofit optimization problem for critical infrastructure systems under a limited retrofit budget in a general form, and then proposes a heuristic method to solve the problem efficiently in terms of the optimality gap and the computational cost. The proposed method mainly includes three steps: (1) generates a limited number of component damage scenarios to reformulate the problem as an approximated model; (2) adopts a component importance-based method to reduce the solution space and applies the integer L-shaped method to solve the approximated model; (3) employs the sample average approximation method to enhance the solution quality. To demonstrate the performance of the proposed method, it is applied to identify the optimal retrofit strategies for the Shelby power transmission system, the IEEE 14-bus test system, and the IEEE 118-bus test system and also compared with several existing methods. Results show that the proposed method is significantly more efficient than those existing methods. For the IEEE 14-bus test system, the proposed method gets almost exact solutions, with errors less than 0.29%; for the other two systems, it returns the best solutions among all methods under various retrofit budgets.

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Section: Introductionmentioning

confidence: 99%

A heuristic method to identify optimum seismic retrofit strategies for critical infrastructure systems

Liu

Ouyang

Wang

et al. 2021

Computer aided Civil Eng

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“…We use the optimization method introduced by Brown et al (2011) to develop consequence scenarios and their probability of occurrence. Each consequence scenario has a realized damage state for each component of the infrastructure and an associated probability.…”

Section: Romero -9mentioning

confidence: 99%

“…In this case, the "true" vulnerability is defined by HAZUS fragility curves (FEMA 2003). For the purposes of this research, the Brown et al (2011) optimization model is expanded to include the performance of the components prior to reinforcement and after reinforcement.…”

Section: Romero -9mentioning

confidence: 99%

Seismic Retrofit for Electric Power Systems

et al. 2015

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This paper develops a two-stage stochastic program and solution procedure to optimize the selection of seismic retrofit strategies to increase the resilience of electric power systems to earthquake hazards. The model explicitly considers the range of earthquake events that are possible and, for each, an approximation to the distribution of damage that is experienced. This is important because electric power systems are spatially distributed; hence their performance is driven by the distribution of damage of the components. We test this solution procedure against the nonlinear integer solver in LINGO 13 and apply the formulation and solution strategy to the Eastern Interconnection where the seismic hazard stems from the New Madrid Seismic Zone. Disciplines Electrical and Computer Engineering | Power and Energy CommentsThis is a manuscripts of an article published as Romero, Natalia, Linda K. Nozick, Ian Dobson, Ningxiong Xu, and Dean A. Jones. "Seismic retrofit for electric power systems." Earthquake Spectra 31, no. 2 (2015) This preprint is a PDF of a manuscript that has been accepted for publication in Earthquake Spectra. It is the final version that was uploaded and approved by the author(s) with figures embedded in the text. Romero -1Copyright ( This paper develops a two-stage stochastic program and solution procedure to optimize the selection of seismic retrofit strategies to increase the resilience of electric power systems to earthquake hazards. The model explicitly considers the range of earthquake events that are possible and, for each, an approximation to the distribution of damage that is experienced. This is important because electric power systems are spatially distributed; hence their performance is driven by the distribution of damage of the components. We test this solution procedure against the nonlinear integer solver in LINGO 13 and apply the formulation and solution strategy to the Eastern Interconnection where the seismic hazard stems from the New Madrid Seismic Zone.

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“…However, this technique could also be applied to the effects of hurricanes and could include other infrastructures. A full description of this optimization-based scenario generation is described in Brown, et al (2011), and extended in Gearhart, et al (2013).…”

Section: Modeling Of Consequence Scenarios For Natural Disastersmentioning

confidence: 99%

A modeling framework for investment planning in interdependent infrastructures in multi-hazard environments.

Brown¹,

Gearhart²,

Jones³

et al. 2013

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Currently, much of protection planning is conducted separately for each infrastructure and hazard. Limited funding requires a balance of expenditures between terrorism and natural hazards based on potential impacts. This report documents the results of a Laboratory Directed Research & Development (LDRD) project that created a modeling framework for investment planning in interdependent infrastructures focused on multiple hazards, including terrorism. To develop this framework, three modeling elements were integrated: natural hazards, terrorism, and interdependent infrastructures. For natural hazards, a methodology was created for specifying events consistent with regional hazards. For terrorism, we modeled the terrorist's actions based on assumptions regarding their knowledge, goals, and target identification strategy. For infrastructures, we focused on predicting post-event performance due to specific terrorist attacks and natural hazard events, tempered by appropriate infrastructure investments. We demonstrate the utility of this framework with various examples, including protection of electric power, roadway, and hospital networks. 4

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Optimization of scenario construction for loss estimation in lifeline networks

Cited by 5 publications

References 7 publications

A heuristic method to identify optimum seismic retrofit strategies for critical infrastructure systems

A heuristic method to identify optimum seismic retrofit strategies for critical infrastructure systems

Seismic Retrofit for Electric Power Systems

A modeling framework for investment planning in interdependent infrastructures in multi-hazard environments.

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