Geomagnetically Induced Current Model Validation From New Zealand's South Island

Abstract Geomagnetically induced currents (GICs) during a space weather event have previously caused transformer damage in New Zealand. During the 2015 St. Patrick's Day Storm, Transpower NZ Ltd has reliable GIC measurements at 23 different transformers across New Zealand's South Island. T...

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Main Authors: T. Divett, D. H. Mac Manus, G. S. Richardson, C. D. Beggan, C. J. Rodger, M. Ingham, E. Clarke, A. W. P. Thomson, M. Dalzell, Y. Obana
Format: Article
Language:English
Published: Wiley 2020-08-01
Series:Space Weather
Online Access:https://doi.org/10.1029/2020SW002494
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author T. Divett
D. H. Mac Manus
G. S. Richardson
C. D. Beggan
C. J. Rodger
M. Ingham
E. Clarke
A. W. P. Thomson
M. Dalzell
Y. Obana
author_facet T. Divett
D. H. Mac Manus
G. S. Richardson
C. D. Beggan
C. J. Rodger
M. Ingham
E. Clarke
A. W. P. Thomson
M. Dalzell
Y. Obana
author_sort T. Divett
collection DOAJ
description Abstract Geomagnetically induced currents (GICs) during a space weather event have previously caused transformer damage in New Zealand. During the 2015 St. Patrick's Day Storm, Transpower NZ Ltd has reliable GIC measurements at 23 different transformers across New Zealand's South Island. These observed GICs show large variability, spatially and within a substation. We compare these GICs with those calculated from a modeled geolectric field using a network model of the transmission network with industry‐provided line, earthing, and transformer resistances. We calculate the modeled geoelectric field from the spectra of magnetic field variations interpolated from measurements during this storm and ground conductance using a thin‐sheet model. Modeled and observed GIC spectra are similar, and coherence exceeds the 95% confidence threshold, for most valid frequencies at 18 of the 23 transformers. Sensitivity analysis shows that modeled GICs are most sensitive to variation in magnetic field input, followed by the variation in land conductivity. The assumption that transmission lines follow straight lines or getting the network resistances exactly right is less significant. Comparing modeled and measured GIC time series highlights that this modeling approach is useful for reconstructing the timing, duration, and relative magnitude of GIC peaks during sudden commencement and substorms. However, the model significantly underestimates the magnitude of these peaks, even for a transformer with good spectral match. This is because of the limited range of frequencies for which the thin‐sheet model is valid and severely limits the usefulness of this modeling approach for accurate prediction of peak GICs.
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spelling doaj-art-f44563e90e9f40d2a717fd95fae1a8e82025-01-14T16:27:11ZengWileySpace Weather1542-73902020-08-01188n/an/a10.1029/2020SW002494Geomagnetically Induced Current Model Validation From New Zealand's South IslandT. Divett0D. H. Mac Manus1G. S. Richardson2C. D. Beggan3C. J. Rodger4M. Ingham5E. Clarke6A. W. P. Thomson7M. Dalzell8Y. Obana9Department of Physics University of Otago Dunedin New ZealandDepartment of Physics University of Otago Dunedin New ZealandBritish Geological Survey Edinburgh UKBritish Geological Survey Edinburgh UKDepartment of Physics University of Otago Dunedin New ZealandSchool of Chemical and Physical Sciences Victoria University of Wellington Wellington New ZealandBritish Geological Survey Edinburgh UKBritish Geological Survey Edinburgh UKTranspower New Zealand Ltd. Wellington New ZealandDepartment of Engineering Science, Faculty of Engineering Osaka Electro‐Communication University Neyagawa JapanAbstract Geomagnetically induced currents (GICs) during a space weather event have previously caused transformer damage in New Zealand. During the 2015 St. Patrick's Day Storm, Transpower NZ Ltd has reliable GIC measurements at 23 different transformers across New Zealand's South Island. These observed GICs show large variability, spatially and within a substation. We compare these GICs with those calculated from a modeled geolectric field using a network model of the transmission network with industry‐provided line, earthing, and transformer resistances. We calculate the modeled geoelectric field from the spectra of magnetic field variations interpolated from measurements during this storm and ground conductance using a thin‐sheet model. Modeled and observed GIC spectra are similar, and coherence exceeds the 95% confidence threshold, for most valid frequencies at 18 of the 23 transformers. Sensitivity analysis shows that modeled GICs are most sensitive to variation in magnetic field input, followed by the variation in land conductivity. The assumption that transmission lines follow straight lines or getting the network resistances exactly right is less significant. Comparing modeled and measured GIC time series highlights that this modeling approach is useful for reconstructing the timing, duration, and relative magnitude of GIC peaks during sudden commencement and substorms. However, the model significantly underestimates the magnitude of these peaks, even for a transformer with good spectral match. This is because of the limited range of frequencies for which the thin‐sheet model is valid and severely limits the usefulness of this modeling approach for accurate prediction of peak GICs.https://doi.org/10.1029/2020SW002494
spellingShingle T. Divett
D. H. Mac Manus
G. S. Richardson
C. D. Beggan
C. J. Rodger
M. Ingham
E. Clarke
A. W. P. Thomson
M. Dalzell
Y. Obana
Geomagnetically Induced Current Model Validation From New Zealand's South Island
Space Weather
title Geomagnetically Induced Current Model Validation From New Zealand's South Island
title_full Geomagnetically Induced Current Model Validation From New Zealand's South Island
title_fullStr Geomagnetically Induced Current Model Validation From New Zealand's South Island
title_full_unstemmed Geomagnetically Induced Current Model Validation From New Zealand's South Island
title_short Geomagnetically Induced Current Model Validation From New Zealand's South Island
title_sort geomagnetically induced current model validation from new zealand s south island
url https://doi.org/10.1029/2020SW002494
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