A new method for assessment of GIC using Geomagentic Indices

Author

He, Feng-xia ; Ma, Xue-jun

Author_Institution

Sch. of Math. & Phys., North China Electr. Power Univ., Beijing, China

fYear

2011

fDate

26-28 July 2011

Firstpage

1900

Lastpage

1902

Abstract

The change of electric field caused by geomagnetic storm generates Geomagnetically Induced Current (GIC), which take negative effect on the safe operation of power systems, thus it is extremely important to assess GIC. Trichtchenko and other scientist have established classical simple linear regression of GIC and Geomagentic Indices by analyzing character of Geomagentic Indices and GIC. Since classical simple linear regression demands strictly on random variable, it is hard for common models to meet the demand. So in this article, it introduces the model of quantile regression, which, compared with the classical one, could not only reflect the full information of GIC, but features of the distribution of GIC.

Keywords

geophysical techniques; magnetic storms; classical simple linear regression; electric field; geomagentic indices; geomagnetic storm; geomagnetically induced current; power systems; quantile regression; random variable; Fitting; Linear regression; Power grids; Saturation magnetization; Storms; GIC; Geomagentic Indices; geomagnetic storm; quantile regression;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2011 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-61284-771-9

Type

conf

DOI

10.1109/ICMT.2011.6002373

Filename

6002373