Avaliação dos impactos de múltiplos agentes na gestão da poluição salina em subestações de alta tensão

Abstract

The increasing dependence of modern society on electric power makes it essential to maintain the operation of electric power services with quality and reliability. In this context, this work aims to analyze multiple variables to identify signals that indicate the degradation of the performance of electrical insulation in high-voltage substations, with a focus on the influence of meteorological variables, such as temperature and precipitation, on leakage current signals. The research was conducted with data collected in a real application environment, on the insulation of the (500 kV) substation of the Usina Termelétrica Porto de Sergipe I, owned by Eneva S.A. The substation is located 1.5 km from the sea, in the municipality of Barra dos Coqueiros, Sergipe, Brazil. In this research, an analysis was carried out to verify how attributes of the leakage current, associated with meteorological conditions, can indicate the insulation conditions and how the phenomenon can be understood from a multivariate approach. For this purpose, dry periods over a year were analyzed, using trend analysis tools in time series, covariance matrix, principal component analysis, and data clustering. The results evidenced the existence of distinct patterns, making it possible to identify the contribution of each variable analyzed and classify the data into main clusters. The adopted methodology proved to be effective in characterizing the phenomenon and contributes to predictive monitoring strategies in high-voltage environments.