Robustness evaluation of power grids under extreme geomagnetic storm scenarios

Liu, Qing; Fu, Yao; Ding, Nan; Li, JinLong

doi:10.1016/j.epsr.2023.109273

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…In North China, 1,000 kV long transmission lines are prevalent in densely populated areas, which increases the potential for hazards from GICs during strong geomagnetic storms. Previous studies are mostly based on 1‐D resistivity models in North China (Liu et al., 2015; Zheng et al., 2013) and with a few simplified 3‐D models of local areas (Liu, Fu, et al., 2023; Liu, Li et al., 2023; Wang et al., 2015; Zhang et al., 2015). This paper presents and discusses the induced geoelectric field in North China during a large geomagnetic storm on 17th March 2015, estimated from interpolated geomagnetic field variations coupled with 119 MT impedance tensors from the SinoProbe project.…”

Section: Introductionmentioning

confidence: 99%

Geoelectric Field Estimations During Geomagnetic Storm in North China From SinoProbe Magnetotelluric Impedances

Shao,

Liu,

Luo

et al. 2024

Space Weather

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Evaluating the impact of geomagnetic disturbances on power grid infrastructure is critical to mitigate the risk posed by geomagnetically induced currents (GICs). In this paper, the geoelectric field and induced voltage distribution in North China were estimated from the SinoProbe magnetotelluric (MT) impedance data together with the geomagnetic observatory data of six INTERMAGNET stations recorded during the significant geomagnetic storm of 17th March 2015. The measured impedances from 119 SinoProbe MT sites were convolved with geomagnetic observatory data to account for the Earth's complex three‐dimensional electrical resistivity structure. The resultant geoelectric field was then used to model the induced voltage distribution across the regional power transmission network in North China. Due to the large inter‐site distances of the SinoProbe MT program, the derived geoelectric field is mostly homogeneous, except in the Ordos Basin that displays a polarization of the geoelectric field, and with higher magnitudes in the orogenic belts. The estimated geoelectric fields in Taihang‐Lvliang, Yanshan, and Luxi orogenic belts of North China were large (>1 V/km) during the storm, due to high‐resistivity lithosphere resulting in large voltage gradients in the Earth. However, in relation to locations of major power transmission lines, only the central part of North China experienced induced voltages exceeding 100 V.

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Section: Introductionmentioning

confidence: 99%

Geoelectric Field Estimations During Geomagnetic Storm in North China From SinoProbe Magnetotelluric Impedances

Shao,

Liu,

Luo

et al. 2024

Space Weather

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The evolution and robustness analysis of global soybean trade network

Ma,

Zhao,

Feng

et al. 2024

Int. J. Mod. Phys. C

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In recent years, the frequent occurrence of extreme weather and national conflicts has highlighted the necessity of enhancing the robustness of the grain trade network. In this paper, we study the evolution of major trading countries, and the network robustness under random and different attack strategies. The results show that the heterogeneity of the Global Soybean Trade Network (GSTN) and trade connections among countries are increasing. The soybean trade network has strong resistance to random attacks, while subjected to targeted attacks, the stability of the network is significantly affected and damaged.

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Robustness evaluation of power grids under extreme geomagnetic storm scenarios

Cited by 2 publications

References 12 publications

Geoelectric Field Estimations During Geomagnetic Storm in North China From SinoProbe Magnetotelluric Impedances

Geoelectric Field Estimations During Geomagnetic Storm in North China From SinoProbe Magnetotelluric Impedances

The evolution and robustness analysis of global soybean trade network

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