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Evaluating and Visualizing the Economic Impact of Commercial Districts Due to an Electric Power Network Disruption

机译：评估和可视化电网中断对商业区的经济影响

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摘要

Critical infrastructure networks enable social behavior, economic productivity, and the way of life of communities. Disruptions to these cyber-physical-social networks highlight their importance. Recent disruptions caused by natural phenomena, including Hurricanes Harvey and Irma in 2017, have particularly demonstrated the importance of functioning electric power networks. Assessing the economic impact (EI) of electricity outages after a service disruption is a challenging task, particularly when interruption costs vary by the type of electric power use (e.g., residential, commercial, industrial). In contrast with most of the literature, this work proposes an approach to spatially evaluate EIs of disruptions to particular components of the electric power network, thus enabling resilience-based preparedness planning from economic and community perspectives. Our contribution is a mix-method approach that combines EI evaluation, component importance analysis, and GIS visualization for decision making. We integrate geographic information systems and an economic evaluation of sporadic electric power outages to provide a tool to assist with prioritizing restoration of power in commercial areas that have the largest impact. By making use of public data describing commercial market value, gross domestic product, and electric area distribution, this article proposes a method to evaluate the EI experienced by commercial districts. A geospatial visualization is presented to observe and compare the areas that are more vulnerable in terms of EI based on the areas covered by each distribution substation. Additionally, a heat map is developed to observe the behavior of disrupted substations to determine the important component exhibiting the highest EI. The proposed resilience analytics approach is applied to analyze outages of substations in the boroughs of New York City.
机译：关键的基础设施网络可以促进社会行为，经济生产力和社区生活方式。对这些网络，物理，社会网络的破坏突显了它们的重要性。最近由自然现象引起的破坏（包括2017年的飓风哈维和艾尔玛）特别证明了运行电力网络的重要性。评估服务中断后电力中断的经济影响（EI）是一项艰巨的任务，特别是当中断成本因电力使用类型（例如住宅，商业，工业）而异时，尤其如此。与大多数文献相反，这项工作提出了一种在空间上评估对电力网络特定组件的破坏的EI的方法，从而可以从经济和社区的角度进行基于适应力的备灾计划。我们的贡献是将EI评估，组件重要性分析和GIS可视化相结合进行决策的混合方法。我们集成了地理信息系统和零星断电的经济评估，以提供一种工具来帮助优先考虑在影响最大的商业区域恢复电力。通过利用描述商业市场价值，国内生产总值和电气面积分布的公共数据，本文提出了一种评估商业区经历的EI的方法。呈现了地理空间可视化，以根据每个配电变电站所覆盖的区域来观察和比较在EI方面更脆弱的区域。此外，还开发了一个热图，以观察中断的变电站的行为，以确定表现出最高EI的重要组件。所提出的弹性分析方法适用于分析纽约市辖区的变电站的中断。

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