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Extreme Value Analysis of Geomagnetically Induced Currents Based on Historical Magnetic Field Data

机译:基于历史磁场数据的地磁感应电流极值分析

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Geomagnetically induced current (GIC) occurring in the transmission network due to geomagnetic disturbance (GMD) events may cause power system equipment damage and/or lead to large-scale power outages. The 1-in-100 year benchmark GMD scenario, considered to be a high impact low-frequency event, is intended for use in planning for GMD events. In this paper, we estimate the 95% confidence interval for the 100-year return level of GIC flows for the transmission network of Iowa, based on extreme value analysis (EVA) of historical GIC flows calculated using historical (1979–2017) geomagnetic field data. The EVA is performed by fitting the distribution of the extreme GIC data on the family of distributions that include Generalized Extreme Value and Generalized Pareto Distribution. We compare this 100-year return level of GIC with that obtained using the NERC benchmark definition.
机译:由于地磁干扰(GMD)事件而在传输网络中发生的地磁感应电流(GIC)可能会导致电力系统设备损坏和/或导致大规模停电。每100年1次的基准GMD场景被认为是高影响力的低频事件,旨在用于GMD事件的规划。在本文中,我们基于使用历史(1979-2017年)地磁场计算的历史GIC流量的极值分析(EVA),估算了爱荷华州输电网络的GIC流量100年回报水平的95%置信区间数据。 EVA是通过将极端GIC数据的分布拟合到包括广义极值和广义帕累托分布的分布族中来执行的。我们将GIC的100年回报水平与使用NERC基准定义所获得的水平进行了比较。

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