中文核心期刊
CNKI期刊全文数据库
中国科学引文数据库(CSCD)源期刊
中国科技论文统计源期刊
万方数据知识服务平台
英国《科学文摘》(SA)
美国化学文摘(CA)
俄罗斯《文摘杂志》(AJ)
德国《天文学与天体物理学文摘》(AAA)
英国《中国天文学和天体物理学》(SCI收录)全文摘译期刊之一
《中国学术期刊文摘》
《中国物理文摘》
《中国天文学文摘》

Chinese Journal of Space Science ›› 2013, Vol. 33 ›› Issue (6): 617-623.doi: 10.11728/cjss2013.06.617

Previous Articles     Next Articles

Calculation Method for Geoelectric Field in Mid- and Low-latitude Area Based on Sparse Geomagnetic Data

Wu Weili1,2, Liu Lianguang1   

  1. 1. Department of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206;
    2. Department of Electronic and Information Engineering, Yili Normal University, Yining 835000
  • Received:2012-10-30 Revised:2013-04-27 Online:2013-11-25 Published:2013-11-14

Abstract:

Mastering spatial and temporal distribution of geoelectric field is the premise of researching and preventing adverse effect on technology systems due to geomagnetic induced current. This paper presents a model for geoelectric field on the basis of sparse geomagnetic observation data in China. Firstly, the model of equal Spherical Elementary Currents System (SECS) is used to represent ionospheric current. Then, the hybrid algorithm of SECS and Complex Image Method (CIM) is proposed to calculate the geoelectric field and the magnetic field due to geomagnetic disturbance. The method provided can be used to calculate the fields at any time, any place during magnetic storms. To test and validate the approach put forward, the observation geomagnetic data at Umq, KSH, GRM and JYG were applied, the induced fields in northwest area were calculated, and the errors between the measurement and calculation were analyzed as well. The results of geoelectric field are consistent with that of the plane wave method, which verifies the algorithm proposed. The results can be directly used to calculate the geomagnetically induced currents flowing in power system, which is of great significance in the hazards assessment of power systems.

Key words: Spherical Elementary Currents System (SECS), Complex Image Method (CIM), Magnetic storm, Geoelectric field

CLC Number: