Random nature of corona processes in UHV power lines and the
accompanying noise is the reason that in practice the best determination
of acoustic parameters, necessary for the noise evaluation, is obtained
from the continuous monitoring procedure. However because of
considerable fluctuations (both the useful signal part and the
interfering components), careful selection of monitored parameters is
necessary to enable a possibility of automatic determination of the
parameters that are required for long-term evaluation of corona noise.
In the present work a practical realization is shown for estimation of
corona noise parameters, based on the data obtained from continuous
monitoring stations, making use of the statistical spectra measurement
and characteristic features of corona process acoustic signal.
Selected results are presented from continuous monitoring of corona
noise generated at a 400 kV power line, with special attention focused
on definitions of the measured quantities, which enable automatic
estimation of the basic factors required for noise evaluation.
Accompanying monitoring of environmental conditions, including humidity,
precipitation intensity and fog density, that are well correlated with
the corona process intensity, which might definitely increase the
filtration efficiency of environmental disturbances and on the other
hand, it enables verification of calculation methods applied to corona
The paper also contains a description of practical approach to selection
signal parameters of corona noise in continuous monitoring stations.