Calculation method of power grid GIC based on apparent resistivity data

被引:0
|
作者
Wang Z. [1 ]
Si Y. [1 ]
Liu L. [2 ]
Zhang C. [3 ]
Yao H. [3 ]
Chen S. [3 ]
机构
[1] Beijing Key Laboratory of High Voltage and EMC, North China Electric Power University, Beijing
[2] State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing
[3] Maintenance Branch of State Grid Zhejiang Electric Power Co., Ltd., Hangzhou
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 03期
关键词
Apparent resistivity; Geoelectric field; Geomagnetically induced current; GMD; Variation function;
D O I
10.16081/j.epae.202101019
中图分类号
学科分类号
摘要
Rapid and accurate calculation of GIC(Geomagnectically Induced Current) is the basis of using power grid scheduling to prevent GMD(GeoMagnetic Disturbance) disaster. The geoelectric structure model-based GMD geoelectric field calculation method using finite element has the disadvantages of extensive workload and time-consuming, which cannot meet the requirements of disaster prevention. The transmission line is treated with micro elements, the apparent resistivity is estimated by using variation function and sliding weighted average method, and the GMD geoelectric field of micro element is calculated directly by combining the measured data of geomagnetic field at geomagnetic platform. Simulative results show that, compared with the method based on the establishment of large-range earth electrical conductivity model and finite element calculation, the proposed method can omit the complex modeling process of earth, improve the calculation accuracy, shorten the calculation time, and provide a basic algorithm for power grid dispatching to prevent GMD disasters. © 2021, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码:151 / 156
页数:5
相关论文
共 16 条
  • [1] WANG Kairang, LIU Lianguang, WEI Kai, Et al., A GIC forecasting algorithm for power grid based on interplanetary solar wind information and three dimensional magnetohydrodyna-mics model, Proceedings of the CSEE, 35, 24, pp. 6341-6350, (2015)
  • [2] XU Yini, KANG Xiaoning, ZHAO Chong, Et al., Identification method of power system geomagnetic storm vulnerable area based on GIC reactive power loss, Electric Power Automation Equipment, 39, 11, pp. 211-216, (2019)
  • [3] YANG Peihong, LIU Lianguang, LIU Chunming, Et al., Multi-objective optimization strategy based on PSO algorithm for GIC-Q of power grid, Electric Power Automation Equipment, 37, 3, pp. 93-99, (2017)
  • [4] MARTI L, YIU C, REZAEI Z A, Et al., Simulation of geomag-netically induced currents with piecewise layered-earth models, IEEE Transactions on Power Delivery, 29, 4, pp. 1886-1893, (2014)
  • [5] WANG Zezhong, DONG Bo, LIU Chunming, Et al., Three-dimensional earth conductivity structure modelling in North China and calculation of geoelectromagnetic fields during geomagnetic disturbances based on finite element method, Tran-sactions of China Electrotechnical Society, 30, 3, pp. 61-66, (2015)
  • [6] FERNBERG P A, SAMSON C, BOTELER D H, Et al., Earth conductivity structures and their effects on geomagnetic induction in pipelines, Annales Geophysicae, 25, 1, pp. 207-218, (2007)
  • [7] LIU Chunming, LIN Chenxiang, WANG Xuan, Et al., Evalua-ting the influence of lateral change of conductivity on the "H polarization" of induced geoelectric field and geomagnetically induced currents, Transactions of China Electrotechnical Society, 31, 24, pp. 113-119, (2016)
  • [8] DONG Bo, WANG Zezhong, LIU Lianguang, Et al., The pro-ximity effect on the induced geoelectric field at the interface of different conductivity structures with lateral variations du-ring geomagnetic storms, Chinese Journal of Geophysics, 58, 1, pp. 238-246, (2015)
  • [9] LIU Chunming, WANG Xuan, LIU Lianguang, Et al., Calculation method of geomagnetically induced currents in the po-wer grid considering the influence of the coast effect, Proceedings of the CSEE, 36, 22, pp. 6059-6066, (2016)
  • [10] SUN R, BALCH C., Comparison between 1-D and 3-D geo-electric field methods to calculate geomagnetically induced currents: a case study, IEEE Transactions on Power Deli-very, 34, 6, pp. 2163-2172, (2019)