Infrastructure Systems, Risk Analysis, and Resilience—Research Gaps and Opportunities

Infrastructure Systems, Risk Analysis, and Resilience—Research Gaps and Opportunities
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基础设施系统、风险分析和弹性——研究差距和机遇

DOI:
10.1111/risa.12416
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发表时间:
2015
期刊:
影响因子:
3.8
通讯作者:
J. Lambert
J. Lambert
中科院分区:
医学3区
文献类型:
--
作者:
S. Guikema;L. McLay;J. Lambert

文献摘要

被引文献

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本期特刊面向风险分析师解决基础设施系统的风险和弹性问题。现代基础设施系统提供了前所未有的便利和服务水平。它们对于城市、地区和国家的经济活力、安全、健康和环境保护至关重要。然而,在这些系统的脆弱性、风险和弹性方面存在知识差距。本期特刊中的文章有助于填补其中一些紧迫的知识空白。该特刊包括以下贡献。方等人。描述用于理解和防止基础设施网络中级联故障的数学模型。他们主要关注输电网络,并考虑如何通过重组链路将发电分配给分销商,以最大限度地提高网络对级联故障的恢复能力并最大限度地降低投资成本。组合多目标优化是通过非支配排序二元差分进化(NSBDE)算法来执行的。对于 NSBDE 搜索中考虑的每种发电机-配电器连接模式,使用计算成本低的复杂系统中的级联故障拓扑模型来模拟和量化网络对由目标攻击引发的级联故障的恢复能力。 400 kV 法国输电网络案例研究的结果表明,所提出的方法使作者能够确定发电机-配电器连接的最佳模式,从而以可接受的成本提高级联弹性。为了验证 NSBDE 所获得结果的真实性
This Special Issue is aimed at risk analysts addressing risks and resilience in infrastructure systems. Modern infrastructure systems offer unprecedented convenience and service levels. They are critical to the economic vitality, security, health, and environmental protection of cities, regions, and nations. However, there are knowledge gaps concerning vulnerabilities, risk, and resilience of these systems. The articles in this Special Issue help fill some of these pressing knowledge gaps. The Special Issue includes the following contributions. Fang et al. describe mathematical models for understanding and preventing cascading failures in infrastructure networks. They are primarily concerned with power transmission networks and consider how to allocate generation to distributors by reorganizing links to maximize network resilience to cascading failure and minimizing investment costs. The combinatorial multiobjective optimization is carried out by a nondominated sorting binary differential evolution (NSBDE) algorithm. For each generator–distributor connection pattern considered in the NSBDE search, a computationally cheap, topological model of failure cascading in a complex system is used to simulate and quantify network resilience to cascading failures initiated by targeted attacks. The results on the 400-kV French power transmission network case study show that the proposed method allows the authors to identify optimal patterns of generator– distributor connection that improve cascading resilience at an acceptable cost. To verify the realism of the results obtained by the NSBDE with an