@article{25fe22dcd9f949389b56ebe85f27283b,
title = "Modeling geomagnetic induced currents in Australian power networks",
abstract = "Geomagnetic induced currents (GICs) have been considered an issue for high-latitude power networks for some decades. More recently, GICs have been observed and studied in power networks located in lower latitude regions. This paper presents the results of a model aimed at predicting and understanding the impact of geomagnetic storms on power networks in Australia, with particular focus on the Queensland and Tasmanian networks. The model incorporates a “geoelectric field” determined using a plane wave magnetic field incident on a uniform conducting Earth, and the network model developed by Lehtinen and Pirjola (1985). Model results for two intense geomagnetic storms of solar cycle 24 are compared with transformer neutral monitors at three locations within the Queensland network and one location within the Tasmanian network. The model is then used to assess the impacts of the superintense geomagnetic storm of 29–31 October 2003 on the flow of GICs within these networks. The model results show good correlation with the observations with coefficients ranging from 0.73 to 0.96 across the observing sites. For Queensland, modeled GIC magnitudes during the superstorm of 29–31 October 2003 exceed 40 A with the larger GICs occurring in the south-east section of the network. Modeled GICs in Tasmania for the same storm do not exceed 30 A. The larger distance spans and general east-west alignment of the southern section of the Queensland network, in conjunction with some relatively low branch resistance values, result in larger modeled GICs despite Queensland being a lower latitude network than Tasmania.",
author = "Marshall, {R. A.} and A. Kelly and {Van Der Walt}, T. and A. Honecker and C. Ong and D. Mikkelsen and A. Spierings and G. Ivanovich and A. Yoshikawa",
note = "Funding Information: The authors would like to acknowledge the Australian Energy Market Operator and members of the Power System Security Working Group for supporting this study. The authors would like to thank Risto Pirjola and David Boteler of Natural Resources Canada for their helpful advice during the model development. The authors would like to acknowledge the national coordinators and co-investigators of the MAGDAS/CPMN project and the Geomagnetism Group of Geoscience Australia for the provision of magnetometer data used in this study. The authors would also like to acknowledge the WDC for Geomagnetism in Kyoto Japan and NOAA{\textquoteright}s Space Weather Prediction Centre in the United States for the provision of geomagnetic indices used in this study. The authors would like to thank the reviewers whose expertise, feedback, and suggestions have helped improve this paper. Power network and GIC monitoring data used in this study provided by Powerlink, Energex, Ergon, TasNetworks, and AEMO are proprietary. Access to these data is at the discretion of the relevant power company and is subject to the relevant company terms and conditions. Requests for these data may be made to the lead author and will be forwarded to the relevant company. Magnetometer data and derived indices used in this study are available from Geoscience Australia{\textquoteright}s Geomagnetism group (http://www.ga.gov.au/scientific-topics/ positioning-navigation/geomagnetism), the International Center for Space Weather Science and Education Kyushu University Japan (http://magdas2.serc. kyushu-u.ac.jp/), and the Australian Bureau of Meteorology{\textquoteright}s World Data Centre (WDC) for Space Weather (http:// www.sws.bom.gov.au/World_Data_ Centre). Work at Kyushu University was supported by MEXT/JSPS KAKENHI grant 15H05815. Publisher Copyright: {\textcopyright}2017. American Geophysical Union. All Rights Reserved.",
year = "2017",
month = jul,
doi = "10.1002/2017SW001613",
language = "English",
volume = "15",
pages = "895--916",
journal = "Space Weather",
issn = "1542-7390",
publisher = "American Geophysical Union",
number = "7",
}