Comparison Study of the Geomagnetically Induced Current Level of Power Grid in Different Latitude

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Abstract:

Geomagnetically induced current (GIC) relates to factors such as magnetic amplitude, geotecture and structure of power grid. On the basis of geotecture, according to the geomagnetic storm data of Dec 2006, employing the plan wave method, this paper finish the calculation of GIC level of 2012 Beijing planning power gird, and compare the result to the measure data of Shanghe substation, in Yanghuai transmission system. The comparison shows that power grid is much more affected by geotecture, direction and length of transmission line, grid topology and electrical parameters in mid-low latitude area

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Periodical:

Advanced Materials Research (Volumes 463-464)

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305-309

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February 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. G. Kappenman, Geomagnetic storms and their impact on power systems, IEEE power Eng. Rev., pp.5-8, May (1996).

DOI: 10.1109/mper.1996.491910

Google Scholar

[2] WangMeiyi, WuJingchang, MengDingzhong in: Big power network system technology (2nd edition), China electric power press, Beijing (1995).

Google Scholar

[3] Liu LY, Xie XW. Analysis of increase of noise of 500kV transformer. High Voltage Engineering, 2005, 31(4): 85-87.

Google Scholar

[4] Risto Pirjola. Geomagnetically Induced Currents during Magnetic Storms. IEEE Transactions on Plasma Science, 28(6): 1867-1873.

DOI: 10.1109/27.902215

Google Scholar

[5] Kappaenman.J. G Albertson V.D. Bracing for the geomagnetic storms. IEEE Spectrum, 1990, 27(3): 27-33.

DOI: 10.1109/6.48847

Google Scholar

[6] ShiJialin. Beijing power grid Eleventh Five-Year Plan, rolling optimization design report. Beijing Electric Power News, 2005, 08(1).

Google Scholar

[7] YuanXuecheng in: Atlas of Geophysics in China, Geology Publishing House, Beijing (1996): 54-55, 163-164.

Google Scholar

[8] Kennedy J, Eberhart R. Particle swarm optimization[C]. Proceedings of IEEE Conference on Neural Networks, Perth, Australia, (1995).

Google Scholar