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Modeling flood induced interdependencies among hydroelectricity generating infrastructures

机译:对洪水引发的水力发电基础设施之间的相互依赖性进行建模

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摘要

This paper presents a new kind of integrated modeling method for simulating the vulnerability of a critical infrastructure for a hazard and the subsequent interdependencies among the interconnected infrastructures. The developed method has been applied to a case study of a network of hydroelectricity generating infrastructures, e.g., water storage concrete gravity dam, penstock, power plant and transformer substation. The modeling approach is based on the fragility curves development with Monte Carlo simulation based structural-hydraulic modeling, flood frequency analysis, stochastic Petri net (SPN) modeling, and Markov Chain analysis. A certain flood level probability can be predicted from flood frequency analysis, and the most probable damage condition for this hazard can be simulated from the developed fragility curves of the dam. Consequently, the resulting interactions among the adjacent infrastructures can be quantified with SPN analysis; corresponding Markov Chain analysis simulates the long term probability matrix of infrastructure failures. The obtained results are quite convincing to prove the novel contribution of this research to the field of infrastructure interdependency analysis which might serve as a decision making tool for flood related emergency response and management.
机译:本文提出了一种新型的集成建模方法,用于仿真关键基础设施的危害性以及互连基础设施之间的后续相互依赖性。所开发的方法已应用于水力发电基础设施网络的案例研究,例如蓄水混凝土重力坝,压力管道,发电厂和变电站。该建模方法基于脆性曲线的开发,该脆弱性曲线的开发基于基于蒙特卡洛模拟的结构液压模型,洪水频率分析,随机Petri网(SPN)建模和马尔可夫链分析。可以通过洪水频率分析预测一定的洪水位概率,并可以根据已开发的大坝脆性曲线模拟这种危害的最可能破坏条件。因此,可以使用SPN分析来量化相邻基础结构之间产生的交互。相应的马尔可夫链分析模拟了基础设施故障的长期概率矩阵。获得的结果非常有说服力,证明了本研究对基础设施相互依赖性分析领域的新贡献,可以作为洪水相关应急响应和管理的决策工具。

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