Issue |
J. Space Weather Space Clim.
Volume 7, 2017
|
|
---|---|---|
Article Number | A22 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/swsc/2017024 | |
Published online | 03 October 2017 |
Research Article
Influence of spatial variations of the geoelectric field on geomagnetically induced currents
1 Finnish Meteorological Institute, Erik Palménin aukio 1, 00560 Helsinki, Finland
2 Geomagnetic Laboratory, Natural Resources Canada, 2617 Anderson Road, Ottawa, Ontario K1A 0E7, Canada
* Corresponding author: ari.viljanen@fmi.fi
Received:
31
May
2017
Accepted:
30
August
2017
The geoelectric field driving geomagnetically induced currents (GIC) has complex spatial variations. It follows that different patterns of the field vectors in a given area having the same regional mean can produce very different GIC. In this study, we consider a few power grid models and calculate GIC due to a modelled geoelectric field with a regional mean magnitude of 1 V/km. Altogether 8035 snapshots of the electric field are included. We also assume two different ground conductivity models, of which the simpler one consists of two layers across the whole region, and another model has four different two-layer blocks. As a measure of GIC, we use the sum of currents at all substations of the power grid. We also consider the distribution of GIC at a single site. For a given grid, differences between the two ground conductivity models are small. When comparing different power grid models, the sum of GIC varies relatively more for a grid with a small number of substations and transmission lines. When the area and the number of substations increase, the relative difference between the smallest and largest GIC sum decreases. In all cases, assuming a spatially uniform electric field leads to a reasonable estimation of the GIC magnitudes, but it does not produce the largest GIC sum. For a single substation, there is a large variety of GIC values due to different electric field configurations.
Key words: geomagnetically induced currents
© A. Viljanen and R. Pirjola, Published by EDP Sciences 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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