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IEEE Transactions on Electromagnetic Compatibility
Article . 2020 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
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Uncertainty Quantification of Geo-Magnetically Induced Currents in UHV Power Grid

Authors: Qing Liu; Yan-zhao Xie; Ning Dong; Yu-hao Chen; Min-zhou Liu; Quan Li;

Uncertainty Quantification of Geo-Magnetically Induced Currents in UHV Power Grid

Abstract

Geo-magnetically induced currents (GICs) have attracted more attention since many Ultra-High Voltage (UHV) transmission lines have been built, or are going to be built in the world. However, when calculating GICs based on the classical model, some input parameters, such as the earth conductivity and dc resistances of the grid, are uncertain or very hard to be determined in advance. Taking this into account, the uncertainty quantification (UQ) model of the geo-electric fields and GICs is proposed in this paper. The UQ of the maximums of the geo-electric fields and GICs during storms is carried out based on the polynomial chaos (PC) method. The results of the UHV grid, 1000 kV Sanhua Grid, were presented and compared to the Monte Carlo method. The total Sobol indices are calculated by using the PC expansion coefficients. The sensitivities of geo-electric fields and GICs to the input variables are analyzed based on the total Sobol indices. Results show that the GICs and geo-electric fields can be effectively simulated by the proposed model, which may offer a better understanding of the sensitivities to input uncertain variables and further give a reasonable evaluation of the geomagnetic threat to the grid.

Countries
United Kingdom, Italy
Related Organizations
Keywords

Conductivity, geo-electric fields, Earth; Input variables; Power grids; Conductivity; Substations; Linear programming; Uncertainty; Geo-electric fields; Geo-magnetically induced currents (GIC); polynomial chaos (PC); total Sobol indices; uncertainty quantification (UQ), Uncertainty, Earth, Geo-magnetically induced currents (GIC), power grids, Input variables, Linear programming, total Sobol indices, Uncertainty Quantification, polynomial chaos (PC), substations

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    7
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Average
Top 10%
Green
bronze