Improved resilience measure for component recovery priority in power grids

Bai, Guanghan; Wang, Han; Xiang, Zheng; Dui, Hongyan; Xie, Min

doi:10.1007/s42524-021-0161-5

Cited by 35 publications

(19 citation statements)

References 36 publications

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“…In case of disasters, effective and timely emergency responses are critical for infrastructure systems to sustain lifeline services and reduce damage loss (Abbasi and Kapucu 2012). Emergency response actions consist of various tasks, such as preparedness and emergency training (Kapucu 2008;Sermet and Demir 2019), evacuation (Huang et al 2017;Georgiadou et al 2010), healthcare provision (Zakrison et al2020Xiang et al 2020), damage and risk assessment (Ghobarah et al 1999;Shah et al 2020;Bernal et al 2017), and restoration of infrastructure functionality (Chen and Ji 2021;Bai et al 2021). Effectively performing complex response tasks usually requires that stakeholders with various roles and responsibilities collaborate for obtaining and allocating required emergency resources as well as learning and exchanging professional knowledge (Li et al 2020b;Li and Ji 2021).…”

Section: Emergency Response Network For Infrastructure Disruptions An...mentioning

confidence: 99%

Quantifying the Resilience of Emergency Response Networks to Infrastructure Interruptions through an Enhanced Metanetwork-Based Framework

Ding

Yuan

et al. 2022

J. Manage. Eng.

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Building effective and resilient emergency response networks (ERN) is essential for the rapid recovery of interrupted infrastructure during extreme events. Aiming at providing a critical benchmarking and implementable strategies for improving ERN resilience, this study proposes a novel framework to systematically quantify ERN resilience through an enhanced Meta-Network Analysis (MNA)-based approach. This framework firstly applies the MNA approach to conceptualize the complex emergency response as three-stage "Agent-Task-Resource-Knowledge" (A-T-R-K) meta-networks, representing JME-Accepted VersionLi, April 12, 2022 connections among stakeholders, response tasks, emergency resources, and professional knowledge. Then, suitable meta-network measures (i.e., natural connectivity, average speed, overall task completion, and the integrative metric of task resource/knowledge needs and task resource/knowledge waste) generated accordingly are used to quantify ERN resilience capacities-robustness, rapidity, resourcefulness, and redundancy. This proposed framework is validated through a case study of the emergency response to the Manchester Arena attack in the United Kingdom. The dynamic change of ERN resilience over time as well as possible causes within the case scenario are analyzed. Additionally, its resilience improvement strategies and the advantages of the MNA approach are discussed. Overall, this enhanced MNA-based framework promotes an understanding of emergency response performance through systematically conceptualizing the complex ERN structure and dynamically quantifying ERN resilience capacities. Lessons learned from historical disasters provide decision-makers with implementable support to advance their collaboration and knowledge sharing, and optimize resources and tasks for enhancing resilience in future infrastructure operation and emergency response activities.

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Section: Emergency Response Network For Infrastructure Disruptions An...mentioning

confidence: 99%

Quantifying the Resilience of Emergency Response Networks to Infrastructure Interruptions through an Enhanced Metanetwork-Based Framework

Ding

Yuan

et al. 2022

J. Manage. Eng.

View full text Add to dashboard Cite

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“…The fourth performance measure is resilience, which is defined as the capability of a system to withstand internal/external disruptions and rapidly recover from them. 30,31,75 Romero et al 7 developed a two-stage stochastic program to identify the optimal component retrofit strategy by maximizing the resilience of electric power systems against seismic hazards. Similar resilience-based metrics were proposed by Chang et al 32 to make the seismic retrofit planning for the Memphis transportation network, by Zhang and Wang 33 to determine critical components for the seismic retrofitting of transportation systems, and also by Gomez and Baker 34 to optimize the seismic retrofit decision of a transportation network in the San Francisco Bay Area.…”

Section: Introductionmentioning

confidence: 99%

“…to make retrofit prioritization decision for the IEEE‐118 network against seismic hazards. The fourth performance measure is resilience, which is defined as the capability of a system to withstand internal/external disruptions and rapidly recover from them 30,31,75 . Romero et al 7 .…”

Section: Introductionmentioning

confidence: 99%

A multi‐perspective framework for seismic retrofit optimization of urban infrastructure systems

Liu

Ouyang

et al. 2022

Earthq Engng Struct Dyn

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Urban infrastructure systems play essential roles in the smooth functioning of modern society but are also threatened by seismic hazards in the earthquake‐prone areas. Retrofitting critical components of those systems has been considered as the most frequently used mitigation strategy in both the literature and practice. The seismic retrofit budget is usually limited, then it needs to identify a set of critical components to be retrofitted, which is generally formulated as a seismic retrofit optimization problem. This article proposes a multi‐perspective modeling and solution framework for the seismic retrofit optimization of urban infrastructure systems, which allows choosing different performance measures including vulnerability, resilience loss and economic loss as the objective function. The proposed framework can be used to explore how different performance measures and the infrastructure interdependencies affect the seismic retrofit decision. Taking the interdependent Shelby power and gas systems as an example, results show that if considering single systems, the optimal economic loss‐based performance improvement ratio (PIR) is larger than the best resilience loss‐based PIR, which is larger than the vulnerability‐based PIR; if considering interdependent systems, the interdependency intensity is indeed a key factor affecting the retrofit decision.

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“…It was not until 1988 that the term SCT was used to refer to hollowed-out inner cities where populations were largely lost under the influence of suburbanization [ 11 ]. There are many reasons for urban shrinkage, and the academic community generally summarized them into factors such as globalization [ 8 , 12 ], deindustrialization [ 13 , 14 , 15 ], suburbanization [ 16 , 17 ], demographic changes [ 18 , 19 ], changes in political context [ 20 ] and natural environment [ 21 , 22 , 23 ]. Although the performance of different SCT had certain similarities, the substantive reasons behind the phenomenon were not the same [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Visualizing and Understanding Shrinking Cities and Towns (SCT) Research: A Network Analysis

Zhang

et al. 2022

IJERPH

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The world is undergoing an unprecedented trend of fast urbanization, which causes a range of socio-environmental consequences, one of which is shrinking cities and towns (SCT). SCT refer to the cities or towns that are experiencing population decline and economic downturn. In the existing literature, there have been numerous studies on SCT; however, there is a lack of study which investigates its knowledge domains. Therefore, this paper aims to conduct a scientometric analysis to achieve an outline of the SCT research status. Through the procedures of literature search and screening, a total of 716 SCT-related studies were extracted from the Scopus. The VOSviewer software system program was then utilized to visualize the present SCT-related studies. The visualization results revealed that the journal of Sustainability made significant contributions to the SCT research in terms of relevant publications. In addition, Haase, Annegret received the most co-citations, and was also the most productive author in this field. Furthermore, it was identified that current SCT research is mainly conducted in developed countries. Through the analysis of keywords, the emerging research topics were revealed. Discussions were further made from the perspectives of prevailing research methods, evaluation criteria, and solutions for SCT problems.

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Improved resilience measure for component recovery priority in power grids

Cited by 35 publications

References 36 publications

Quantifying the Resilience of Emergency Response Networks to Infrastructure Interruptions through an Enhanced Metanetwork-Based Framework

Quantifying the Resilience of Emergency Response Networks to Infrastructure Interruptions through an Enhanced Metanetwork-Based Framework

A multi‐perspective framework for seismic retrofit optimization of urban infrastructure systems

Visualizing and Understanding Shrinking Cities and Towns (SCT) Research: A Network Analysis

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