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

Abstract

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