Lightning is one of the greater risk factors for the Electricity Sector, especially
in the Amazon, a region of the world identified with high lightning densities and peak
currents. In this context, the Sferics Timing And Ranging NETwork (STARNET),
which is presently the only free and continuous lightning detection system covering the
whole Amazon Region was chosen to generate lightning parameter products required
for the optimization of protection for transmission lines systems through continuous
lightning monitoring. However, the intermittent activity observed in the Operating
Diagrams of the various STARNET stations, impacted the system performances in
special its detection efficiency. As a consequence, a model of standardization of
lightning data was developed as a function of the network configuration (number and
location of sensors in operation), with the final objective of editing reliable keraunic
parameter as well as lightning densities maps. We found that there are Amazon regions
which always have positive lightning density anomalies like the regions of Belém and
Manaus, and the state of Tocantins. Next, the lightning incidence on transmission lines
in amazon region was estimate from the peak current distribution of the Lightning
Detection Network of the Amazon Protection System (SIPAM-LDN) and the
standardized stroke density from the STARNET network. A comparative performance
evaluation of STARNET with reference to the SIPAM-LDN also showed a strong
dependence of the lightning detection efficiency of STARNET network on the peak
current of lightning events.
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