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• W4303474629 abstract "With the expansion of power grid, the hazard of geomagnetically induced current (GIC) has attracted more attention. Due to the small number of Magnetotelluric detection points, the earth conductivity model based on limited data cannot be adapted to the GIC calculation of large-scale power grids. In addition, it is necessary to consider the effect of simultaneous changes in multiple input variables on GIC calculation results. Therefore, this paper presents a method for modeling the conductivity of the earth which is used in the case of less data, and uses the model to quantify the uncertainty. Based on the existing Magnetotelluric data in Northern China, the conductivity model within the power grid region is established using the Kriging method. The uncertainty quantification model of the GIC is constructed based on the Polynomial Chaos Expansions(PCE) method. The uncertainty quantification analysis is carried out for the 1000 kV ultra-high voltage Northern China Power Grid. The statistical information of the GIC and its sensitivity to each input parameter are obtained." @default.
• W4303474629 created "2022-10-08" @default.
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• W4303474629 date "2023-01-01" @default.
• W4303474629 modified "2023-10-16" @default.
• W4303474629 title "Geomagnetically induced current uncertainty quantification based on the earth conductivity models constructed by the Kriging method" @default.
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• W4303474629 doi "https://doi.org/10.1016/j.epsr.2022.108846" @default.
• W4303474629 hasPublicationYear "2023" @default.
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