An Integrated Assessment of a G3 GMD Event on Large-Scale Power Grids: From Magnetometer Data To Geomagnetically Induced Current Analysis

Solar activity can cause geomagnetic disturbances (GMDs) that give rise to geomagnetically induced currents (GICs) which may compromise the reliability of the electric grid. In order to build more reliable models representing GMD interactions with the power grid, the power system's detailed ele...

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Bibliographic Details
Published in:IEEE transactions on industry applications 2024-01, Vol.60 (1), p.1-12
Main Authors: Dehghanian, Pooria, Zhang, Anna, Fatima, Rida, Snodgrass, Jonathan, Birchfield, Adam B., Davis, Katherine R., Overbye, Thomas J.
Format: Article
Language:English
Subjects:
Conductivity
Disturbances
Earth
electric field
Electric fields
Electric power grids
Electric power systems
Geomagnetic disturbance (GMD)
geomagnetic field
geomagnetically induced currents (GICs)
Geomagnetism
Magnetic field measurement
Magnetic fields
Magnetic separation
magnetometer
Magnetometers
Power grids
Solar activity
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Summary:Solar activity can cause geomagnetic disturbances (GMDs) that give rise to geomagnetically induced currents (GICs) which may compromise the reliability of the electric grid. In order to build more reliable models representing GMD interactions with the power grid, the power system's detailed electrical model must be considered along with fluctuations in the earth's magnetic and induced surface electric fields. This study investigates the impact of incorporating spatially varying magnetic fields into surface electric field models on GMD risk metrics. A spatially independent magnetic field model and a spatially varying model are compared through simulations. To perform this analysis, the earth's magnetic field disturbances are transformed into surface electric fields using respective one-dimensional earth conductivity models. Then, the modeling impact of these electric fields is studied using a 2,000-bus grid for Texas and a 25,000-bus grid for the northeast and mid-Atlantic regions of the United States. Simulation results reveal that the inclusion of spatially varying magnetic fields results in considerable differences in GMD risk metrics, highlighting the importance of accounting for spatial variability when assessing GMD risks in the power system.
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2023.3328974