Correlation Analysis And Visualization Of Geomagnetically Induced Current Based On Geomagnetic Data

The high-energy particles produced by solar activity interact with the earth's magnetospheric ionosphere,causing severe fluctuations in regional geomagnetic levels and induced electric fields,which in turn generate geomagnetically induced currents(GIC)in the grounding system.Taking high latitude areas as an example,this paper conducts a statistical study on the relationship between GIC and the rate of change of geomagnetism,and discovers the correlation between regional geomagnetism and GIC and the law of change,and realizes the visualization of the GIC region based on this,which can be used to prevent GIC.Provide reference to reduce the damage of GIC to grounding facilities,and then protect people's production and life,and maintain the safety and stability of society.First of all,this research proposes a GIC event identification method from the perspective of the power system,identifying more than 5,500 GIC events from the 10s resolution GIC data of the MAN station in Finland for 21 years(1999-2019)to form a GIC event list.Through the analysis of four typical GIC events,it is found that the two types of GIC events(long duration and smaller GIC,short duration and larger GIC)affect the power system in different ways.Based on the GIC event list:through statistical analysis and correlation research on the maximum value of GIC(GICmax),duration Td,and other characteristics,some rules have been discoveredSecondly,find the change rate dBh/dt of the geomagnetic horizontal component suitable for statistical analysis with GIC.Based on more than 5500 GIC events,the GICmax and the maximum change rate of the geomagnetic horizontal component(dBh/dt)are based on a two-way and one-way search window.Max conducted a statistical study and found that there is a significant time difference AT(20s)between GIC and the rate of change of geomagnetism,and determined that the 40s one-way search window is the most suitable search window for determining(dBh/dt)max GICmax and(The relational expression satisfied by dBh/dt)max shall be optimized after verification.Finally,the correlation analysis between other internal parameters and the corresponding dBh/dt parameters in the GIC event was carried out,and a series of prediction formulas were established.Finally,the correlation between the dBh/dt of each station in the longitude chain and the GIC of the MAN station is compared and analyzed,and it is found that the correlation of the data between the stations is positively correlated with their distance.A comparative analysis of the dBh/dt of the MAN station GIC and the six geomagnetic stations in the longitude chain under various levels of magnetic storms confirms that the Kriging interpolation method is an excellent regional geomagnetic prediction method.Finally,taking the dBh/dt of about 40 stations in Northern Europe as input,the Kriging interpolation method is used to calculate the regional dBh/dt data,and combined with the prediction formula,the GIC level in each region is indirectly characterized and visualized.In summary,from the perspective of the power system,based on the statistics of the GIC event list,the relationship between the area GIC and dBh/dt can be used to indirectly characterize and visualize the area GIC through geomagnetie data,which provides a reference for the prevention of GIC and guarantees the ground Safe and stable operation of infrastructure.