N-k interdiction modeling for natural gas networks
N-k interdiction modeling for natural gas networks
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DOI：
10.1016/j.epsr.2020.106725
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发表时间：
2021-01
影响因子：
3.9
通讯作者：
Mareldi Ahumada-Paras;K. Sundar;R. Bent;Anatoly Zlotnik
中科院分区：
文献类型：
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作者：
Mareldi Ahumada-Paras;K. Sundar;R. Bent;Anatoly Zlotnik
虽然电力传输系统通常非常坚固，但当它们被中断时产生的影响激发了分析停电风险的方法。例如，开发了N-k中断模型，通过识别故障会导致“最坏情况”停电的电力系统组件集来表征中断。虽然这类模型已经取得了相当大的进步，但它们通常忽略了电力系统外部的故障会如何导致大规模停电。具体地说，为燃气发电机提供燃料的天然气管道网络出现故障，可能会影响电网的功能。在本研究中，我们将N-KINDICATION模型推广到天然气管网。我们使用最近开发的天然气流动方程的凸弛豫法来产生易于处理的公式，以识别其故障可能导致天然气输送减少的组分。然后，我们提出了一种新的割平面算法来解决这些问题。最后，我们使用测试实例结合对电网停电影响的仿真来分析该方法的性能。
Although electricity transmission systems are typically very robust, the impacts that arise when they are disrupted motivate methods for analyzing outage risk. For example,N-kinterdiction models were developed to characterize disruptions by identifying the sets ofkpower system components whose failure results in “worst case” outages. While such models have advanced considerably, they generally neglect how failures outside the power system can cause large-scale outages. Specifically, failures in natural gas pipeline networks that provide fuel for gas-fired generators can affect the function of the power grid. In this study, we extendN-kinterdiction modeling to gas pipeline networks. We use recently developed convex relaxations for natural gas flow equations to yield tractable formulations for identifying sets ofkcomponents whose failure can cause curtailment of natural gas delivery. We then present a novel cutting-plane algorithm to solve these problems. Finally, we use test instances to analyze the performance of the approach in conjunction with simulations of outage effects on electrical power grids.