Title of article
Estimation of the Statistical Distributions of Lightning Current Parameters at Ground Level From the Data Recorded by Instrumented Towers
Author/Authors
A. Borghetti، نويسنده , , C. A. Nucci، نويسنده , , and M. Paolone، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2004
Pages
10
From page
1400
To page
1409
Abstract
This paper describes a procedure based on the Monte
Carlo method to obtain the statistical distributions of lightning current
parameters at ground level starting from those inferred from
experimental data recorded by means of tall instrumented towers.
As a matter of fact, it is generally accepted that these distributions
are affected by the presence of the tower; lightning current amplitudes,
in particular, are “biased” toward higher values, as the tower
ability to attract lightning flashes tends to increase for flashes with
larger currents. Concerning the current peak distribution, the obtained
results match with those presented in previous studies on
the subject; for instance, for the Berger et al. distribution, they provide
a median value decrease ranging from 20%–40%, depending
on the attractive radius expression adopted in the calculation. The
proposed procedure is more general than others presented in the
literature for the same purpose. It can be applied, indeed, to whatever
model is adopted to represent the exposure of the tower to
direct strokes and, further, it allows to quantify the tower effect on
the statistical distributions of all lightning current parameters of
interest, and not only of the peak value one. The statistical distributions
at ground, calculated with the proposed procedure, should
be considered for power system insulation coordination studies,
chiefly for a more representative and significant evaluation of the
indirect lightning performance of distribution lines. The obtained
results can also be used to assess the performance of lightning location
systems concerning the relevant current statistical distributions.
Keywords
lightning current statistics , Monte Carlo simulation. , Insulation coordination
Journal title
IEEE TRANSACTIONS ON POWER DELIVERY
Serial Year
2004
Journal title
IEEE TRANSACTIONS ON POWER DELIVERY
Record number
400747
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