An Integrated Preventive Operation Framework for Power Systems During Hurricanes
An Integrated Preventive Operation Framework for Power Systems During Hurricanes
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DOI：
10.1109/jsyst.2019.2947672
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发表时间：
2020-09
影响因子：
4.4
通讯作者：
Yuanrui Sang;Jiayue Xue;M. Sahraei-Ardakani;Ge Ou
中科院分区：
文献类型：
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作者：
Yuanrui Sang;Jiayue Xue;M. Sahraei-Ardakani;Ge Ou
恶劣天气是美国停电的主要原因。尽管可以获得天气预报信息，但这些数据并没有系统地整合到运营模型中。本文提出了一个综合框架，将天气预报转化为适当的信息，以便在飓风期间进行预防操作，从而减少飓风造成的停电。为了实现这一目标，首先，建立了输电铁塔的结构模型，以基于风速估计故障概率。然后，这些概率被整合到一个前一天安全受限的机组承诺框架中，以指导预防性操作。由此产生的提前一天的时间表将更加可靠，因为它将减少对可能失败的因素的依赖。在受伊尔玛和哈维飓风影响的IEEE118节点系统上进行的仿真研究表明，所提出的框架能够防止33%到83%的停电。需要进一步的研究来调查洪水的影响，对配电网络的破坏，以及天气预报的不确定性。
Severe weather is the primary cause of power outages in the U.S. Despite the availability of weather forecast information, such data are not systematically integrated into operation models. This article proposes an integrated framework to convert weather forecast into appropriate information for preventive operation during hurricanes so that the power outages induced by hurricanes can be reduced. To achieve this goal, first, a structural model of the transmission towers is developed to estimate failure probabilities based on the wind speed. These probabilities are then integrated within a day-ahead security-constrained unit commitment framework to guide preventive operation. The resulting day-ahead schedule will be more reliable as it will rely less on the elements that are likely to fail. Simulation studies, conducted on the IEEE 118-bus system affected by synthesized Irma and Harvey hurricanes, showed that the proposed framework was able to prevent 33% to 83% of the blackouts. Further research is required to investigate the impacts of flooding, damage to the distribution network, and weather forecast uncertainty.