IDENTIFICATION OF OPERATING BEHAVIOUR PATTERNS IN DISTRIBUTION LINES UNDER THE INFLUENCE OF CLIMATIC VARIABLES AND OPERATIONAL CONDITIONS FOR FAILURE DETECTION AND OPERATIONAL SUSTAINABILITY ASSESSMENT

This study developed a logical-mathematical algorithm to analyze the 
relationship between wind variables and failures in electric power distribution lines in 
Bertioga-SP, using records from Neoenergia and meteorological data from INMET. A 
Boolean and probabilistic approach identified wind conditions with higher failure 
probability, showing that intermediate and high wind ranges increase susceptibility. The 
study suggests refining the algorithm and databases to include other climatic variables 
in future work.