Resumo:
The electric power transmission lines consist in one of the most important components
of the electrical system and its vulnerability to the meteorological phenomena is a
determinative factor in its design and operation.
In Brazil, the standard NBR 5422 establishes the basic conditions for the design of
electric power transmission lines in order to guarantee minimum levels of security of
operation under adverse meteorological conditions, such as maximums or minimums values
of air temperature and maximum wind speed, all these parameters calculated for a determined
probability of occurrence or time of return. Thus, meteorological data with quality and
updated are the basic in the transmission lines design. The Data Collection Platforms (DCPs)
or Automated Weather Stations consist in a source of meteorological data for application in
designing of transmission lines. However, it is necessary to carry out first the formatting, the
quality control and the statistical treatment of these data before their use with the procedures
of sizing the conductors, insulators, supports and other components of the transmission lines,
as specified in the standard NBR 5422.
To take care of this demand the specific methodology and computational tools had
been developed, in the form of macros of the electronic spread sheet EXCEL, for the
processing of the meteorological data collected by DCPs for generation of the maps of
temperatures (isothermal) and wind speed (isotach) or application in the design of
transmission lines, in complementation to the maps for these meteorological variables
available in the standard NBR 5422.
To demonstrate the use of this methodology and the developed computational tools, a
region of the State of Minas Gerais was selected and the meteorological data collected by
DCPs was processed, producing the statisticians of the data and the set of maps of isothermal
and isotach. The generated maps are compatible with the available maps in the standard NBR
5422, presenting a better detailing of the studied region. In such a way the developed
methodology and computational tools in this work can be used for the meteorological data
handling collected by PCDs, located in any other regions, becoming a powerful tool for aiding
the design of the new electric power transmission lines or upgrading the existing ones.
