TY - JOUR
T1 - Assessing the hazard from geomagnetically induced currents to the entire high-voltage power network in Spain Extremely Severe Space Weather and Geomagnetically Induced Currents in Regions with Locally Heterogeneous Ground Resistivity
AU - Miquel Torta, Joan
AU - Marsal, Santiago
AU - Quintana, Marta
N1 - Funding Information:
This research is part of the project ‘Geomagnetically induced currents in the power transmission network,’ which is funded by Red Eléctrica de España, S. A.U. The GIC measurement data at the Vandellòs substation were obtained by a previous project funded by ENDESA Distribución Eléctrica, S.L. We wish to thank Lluís Serrano, formerly at Ebre Observatory, for preparing most of the software used in this paper, and Ewan Dawson of the Geomagnetism Team, British Geological Survey, Edinburgh, for computing the values provided in Table 1. Some discussions with Risto Pirjola, David Boteler, and Ari Viljanen and their suggestions helped to improve our work. Finally, we wish to acknowledge Risto Pirjola and an anonymous reviewer for their valuable comments and constructive criticisms that greatly enhanced the quality of the manuscript.
PY - 2014/12
Y1 - 2014/12
N2 - After the good results obtained from an assessment of geomagnetically induced currents (GICs) in a relatively small subset of the Spanish power transmission network, we now present the first attempt to assess vulnerability across the entire Spanish system. At this stage, we have only included the power grid at the voltage level of 400 kV, which contains 173 substations along with their corresponding single or multiple transformers and almost 300 transmission lines; this type of analysis could be extended to include the 220-kV grid, and even the 110-kV lines, if more detailed information becomes available. The geoelectric field that drives the GICs can be derived with the assumption of plane wave geomagnetic variations and a homogeneous or layered conductivity structure. To assess the maximum expected GICs in each transformer as a consequence of extreme geomagnetic storms, a post-event analysis of data from the Ebre Geomagnetic Observatory (EBR) during the 2003 Halloween storm was performed, although other episodes coincident with very abrupt storm onsets, which have proven to be more hazardous at these mid-latitudes, were analyzed as well. Preferred geomagnetic/geoelectric field directions in which the maximum GICs occur are automatically given from the grid model. In addition, EBR digital geomagnetic data were used to infer statistical occurrence probability values and derive the GIC risk at 100-year or 200-year return period scenarios. Comparisons with GIC measurements at one of the transformers allowed us to evaluate the model uncertainties.
AB - After the good results obtained from an assessment of geomagnetically induced currents (GICs) in a relatively small subset of the Spanish power transmission network, we now present the first attempt to assess vulnerability across the entire Spanish system. At this stage, we have only included the power grid at the voltage level of 400 kV, which contains 173 substations along with their corresponding single or multiple transformers and almost 300 transmission lines; this type of analysis could be extended to include the 220-kV grid, and even the 110-kV lines, if more detailed information becomes available. The geoelectric field that drives the GICs can be derived with the assumption of plane wave geomagnetic variations and a homogeneous or layered conductivity structure. To assess the maximum expected GICs in each transformer as a consequence of extreme geomagnetic storms, a post-event analysis of data from the Ebre Geomagnetic Observatory (EBR) during the 2003 Halloween storm was performed, although other episodes coincident with very abrupt storm onsets, which have proven to be more hazardous at these mid-latitudes, were analyzed as well. Preferred geomagnetic/geoelectric field directions in which the maximum GICs occur are automatically given from the grid model. In addition, EBR digital geomagnetic data were used to infer statistical occurrence probability values and derive the GIC risk at 100-year or 200-year return period scenarios. Comparisons with GIC measurements at one of the transformers allowed us to evaluate the model uncertainties.
KW - GIC
KW - Geomagnetically induced currents
KW - Natural hazards
KW - Space weather
KW - Spain
UR - http://www.scopus.com/inward/record.url?scp=84935836447&partnerID=8YFLogxK
U2 - 10.1186/1880-5981-66-87
DO - 10.1186/1880-5981-66-87
M3 - Article
AN - SCOPUS:84935836447
SN - 1343-8832
VL - 66
JO - Earth, Planets and Space
JF - Earth, Planets and Space
IS - 1
M1 - 87
ER -