LAPSE:2023.34513
Published Article
LAPSE:2023.34513
Computation of Lightning Current from Electric Field Based on Laplace Transform and Deconvolution Method
April 27, 2023
Abstract
A method for computation of the lightning channel base current from the corresponding vertical component of lightning electric field was presented. The algorithm was developed by applying Laplace transform. The lightning current was estimated from its deconvolution with a special transfer function. The transfer function includes information about geometry and physical properties of entire lightning impulse generation system. The method was verified for a Heidler-type base current and a MTLL model of its propagation within the lightning channel. Research was done for close, middle, and far distance to the lightning strike point. Optimum performance was obtained for the middle distance of several kilometers where the electrostatic, induction, and radiation components of the transfer function were of the same range. An analysis was done for input electric field with and without noise superimposed on its time domain waveform. Relative uncertainties for the electric field and calculated lightning channel base current were similar each other. The presented approach can substantially increase a number of lightning current parameters which can be identified on the basis of its electric field signature. This method can be applied by the lightning location systems using preprocessing which increases the timing efficiency of the transfer function estimation.
Keywords
deconvolution, Laplace transform, lightning channel base current, lightning electric field
Suggested Citation
Karnas G. Computation of Lightning Current from Electric Field Based on Laplace Transform and Deconvolution Method. (2023). LAPSE:2023.34513
Author Affiliations
Karnas G: Department of Electrical Engineering Fundamentals, Rzeszow University of Technology, ul. Wincentego Pola 2, 35-959 Rzeszów, Poland [ORCID]
Journal Name
Energies
Volume
14
Issue
14
First Page
4201
Year
2021
Publication Date
2021-07-12
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14144201, Publication Type: Journal Article
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LAPSE:2023.34513
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https://doi.org/10.3390/en14144201
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