Modelagem de sistemas de detecção de descargas atmosféricas na Amazônia

Abstract

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.