2015
DOI: 10.1016/j.ress.2015.03.011
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Resilience assessment of interdependent infrastructure systems: With a focus on joint restoration modeling and analysis

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Cited by 321 publications
(138 citation statements)
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References 29 publications
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“…Jaworsky et al (2015) proposed a risk assessment methodology for coupled natural gas and electric power systems based on a probabilistic weather model, a detailed model of the interdependence between the gas and electricity infrastructure, and an optimization approach to identify the most dangerous weather and outage events; the efficiency of the proposed algorithm enables the use of arbitrarily sophisticated models of coupled infrastructure. Ouyang and Wang (2015) investigated the restoration problem of interdependent power and gas networks, where a network-based framework was used to analyze the resilience contribution of five joint restoration strategies. Their results showed that, under limited restoration resources, the "random restoration" strategy produces the least resilience for both systems, the "independent restoration" strategy and the "power first and gas second" restoration strategy generate the largest resilience for the power system, and the "gas aimed" restoration strategy generates the largest resilience for the gas system.…”
Section: Energy Systemsmentioning
confidence: 99%
“…Jaworsky et al (2015) proposed a risk assessment methodology for coupled natural gas and electric power systems based on a probabilistic weather model, a detailed model of the interdependence between the gas and electricity infrastructure, and an optimization approach to identify the most dangerous weather and outage events; the efficiency of the proposed algorithm enables the use of arbitrarily sophisticated models of coupled infrastructure. Ouyang and Wang (2015) investigated the restoration problem of interdependent power and gas networks, where a network-based framework was used to analyze the resilience contribution of five joint restoration strategies. Their results showed that, under limited restoration resources, the "random restoration" strategy produces the least resilience for both systems, the "independent restoration" strategy and the "power first and gas second" restoration strategy generate the largest resilience for the power system, and the "gas aimed" restoration strategy generates the largest resilience for the gas system.…”
Section: Energy Systemsmentioning
confidence: 99%
“…In Table 1 [19]. To evaluate the resilience of power distribution networks for hurricane scenario, two performance metrics of power and gas system are computed under various restoration strategies.…”
Section: Chapter 2 Literature Reviewmentioning
confidence: 99%
“…To sum up, the less the impact area, the larger the resilience value. In the previous research, both Ouyang et al (2015) and Baroud et al (2014) focus on increasing the system resilience by optimizing the restoration activities in recovery phases. However, these restoration strategies may come with costs that need to be balanced between the resilience cost and restoration cost.…”
Section: Chapter 2 Literature Reviewmentioning
confidence: 99%
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“…To develop opportunities for the sustainable development of cities, researchers from multiple disciplines are studying the feedback, dynamics, and behavior of urban vulnerability and urban resilience in the face of urban crisis, such as the axioms and mean of urban resilience (Campanella, 2006;Surjan et al, 2011;Wilkinson, 2012;Childers et al, 2014), climate change and urban resilience (Grimm et al, 2008;Leichenko, 2011;Tyler & Moench, 2012), spatial planning and urban resilience in the flood risk (Deppisch & Schaerffer, 2011;Cruz et al, 2013;Lu, 2014), urban resilience and human-dominated ecosystems , urban infrastructure systems (Wilbanks et al, 2012;Ouyang & Wang, 2015), urban resilience index (Attoh-Okine et al, 2009;Sellberg et al, 2015), urban social resilience (Cutter et al, 2010;Tate, 2012) and resilient cities Pickett et al, 2004;Desouza & Flanery, 2013;Vale, 2014). Further, topics on urban resilience and its related domain have become hot-debated focus (Beilin & Wilkinson, 2015).…”
mentioning
confidence: 99%