Resilience of Power Systems to Ice Storms: Analysis and Quantification

Resilience of Power Systems to Ice Storms: Analysis and Quantification
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DOI:
10.1109/pesgm52003.2023.10253351
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发表时间:
2023-07
期刊:
2023 IEEE Power & Energy Society General Meeting (PESGM)
影响因子:
--
通讯作者:
Michael Abdelmalak;Jitendra Thapa;M. Benidris
Michael Abdelmalak;Jitendra Thapa;M. Benidris
中科院分区:
其他
文献类型:
--
作者:
Michael Abdelmalak;Jitendra Thapa;M. Benidris

文献摘要

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严重的冰风暴对电力系统部件造成的重大损害和长时间的停电要求开发评估电力系统对这些风暴的恢复能力的方法。然而,不同的时空特征的冰风暴引入了高度的不确定性,系统组件故障,性能和恢复力水平。本文提出了一种电力系统恢复力评估方法,以评估电力系统在不同的冰风暴特性下的恢复力。时空模式在本文中被用来模拟冰暴的行为,因为他们通过系统移动。进行了广泛的统计分析,以获得概率分布函数的参数在给定的地理区域的冰暴的行为。脆弱性模型用于确定系统组件在冰风暴穿过系统时发生故障的可能性。最后,一个组合枚举为基础的方法被施加到数量的电力系统对冰暴的弹性。所提出的方法是通过模拟冰风暴在25000总线合成电网代表美国东北部和中东地区进行测试。结果表明,该方法可有效评估不同冰灾特征下电网的恢复能力。
Major damage to power system components and prolonged power outages caused by severe ice storms call for developing approaches that assess the resilience of power systems against these storms. However, the diverse spatiotemporal characteristics of ice storms introduce high uncertainties related to system component failures, performance, and resilience level. This paper proposes a resilience assessment approach to evaluate the resilience of power systems under diverse ice storm characteristics. Spatiotemporal models are used in this paper to emulate the behavior of ice storms as they move across the system. Extensive statistical analyses are carried out to derive probability distribution functions for the parameters governing the behavior of ice storms in a given geographical region. A fragility model is used to determine the likelihood of a system component to fail as an ice storm moves across the system. Finally, a combinatorial enumeration-based approach is applied to quantity the resilience of power systems against ice storms. The proposed approach is tested by simulating ice storms in the 25000-bus synthetic power grid representing the Northeastern and Mideast regions of the United States. The results show that the proposed method is effective in assessing the resilience of power grids under diverse ice storm characteristics.