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Towards understanding the robustness of energy distribution networks based on macroscopic and microscopic evaluations

机译：基于宏观和微观评估，了解能源分配网络的稳健性

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摘要

Supply disruptions on one node of a distribution network may spread to other nodes, and potentially bring various social and economic impacts. To understand the performance of a distribution network in the face of supply disruptions, it would be helpful for policy makers to quantitatively evaluate the robustness of the network, i.e., its ability of maintaining a supply-demand balance on individual nodes. In this paper, we first define a notion of network entropy to macroscopically characterize distribution robustness with respect to the dynamics of energy flows. Further, we look into how microscopic evaluation based on a failure spreading model helps us determine the extent to which disruptions on one node may affect the others. We take the natural gas distribution network in the USA as an example to demonstrate the introduced concepts and methods. Specifically, the proposed macroscopic and microscopic evaluations provide us a means of precisely identifying transmission bottlenecks in the U.S. interstate pipeline network, ranking the effects of supply disruptions on individual nodes, and planning geographically advantageous locations for natural gas storage. These findings can offer policy makers, planners, and network managers with further insights into emergency planning as well as possible design improvement.
机译：配电网络一个节点上的供应中断可能会扩散到其他节点，并可能带来各种社会和经济影响。为了了解面对供应中断的配电网络的性能，对于决策者来说，定量评估网络的健壮性（即其在各个节点上保持供需平衡的能力）将是有帮助的。在本文中，我们首先定义了网络熵的概念，以宏观地描述能量流动力学中的分布鲁棒性。此外，我们研究了基于故障扩展模型的微观评估如何帮助我们确定一个节点上的中断可能影响其他节点的程度。我们以美国的天然气分销网络为例，介绍所介绍的概念和方法。具体而言，提出的宏观和微观评估为我们提供了一种方法，可以准确地识别美国州际管线网络中的传输瓶颈，对单个节点上的供应中断影响进行排名，并规划天然气存储的地理位置。这些发现可以为政策制定者，规划者和网络经理提供对紧急计划以及可能的设计改进的进一步见解。

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