Title :
Wavelet De-noising and Correlation Analysis in GIC Signal during Magnetic Storm
Author :
He, Feng-xia ; Mu, Xue-ling ; Liu, Lian-Guang
Author_Institution :
Sch. of Math. & Phys., North China Electr. Power Univ., Beijing
Abstract :
Magnetic Storms are the earthpsilas magnetic field changes caused by solar activities, and can produce geomagnetically induced currents (GIC) in power systems, pipelines and other technological conductor systems on the ground. GIC have a great influence on the safety of these facilities of these technological conductor systems. In the paper using the geomagnetic data and GIC data from measuring sites on the power systems, the authors firstly denoise the GIC data with Wavelet Transform to obtain accurate GIC signal, and then analyze and compare the correlation of geomagnetic data and GIC data, finally, the authors estimate the geomagnetic storm indicators closely related to GIC in power system. The results are of great significance for the analysis of the impart of magnetic storms and the warming or prediction of the magnetic storms.
Keywords :
atmospheric techniques; correlation methods; geophysical signal processing; magnetic storms; safety; wavelet transforms; Earth magnetic field change; GIC signal; correlation analysis; facility safety; geomagnetic data; geomagnetically induced current; magnetic storm; pipeline; power system; solar activities; technological conductor system; wavelet denoising; wavelet transform; Conductors; Geomagnetism; Magnetic analysis; Magnetic fields; Noise reduction; Power system analysis computing; Power system measurements; Signal analysis; Storms; Wavelet analysis; Correlation Analysis; GIC; Magnetic Storms; Wavelet Analysis;
Conference_Titel :
Modelling, Simulation and Optimization, 2008. WMSO '08. International Workshop on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3484-8
DOI :
10.1109/WMSO.2008.106
