Uma ferramenta robusta de tratamento de eventos em redes elétricas.

Abstract

One of the most important problems that have been found in power supervision and control centers is a huge mass of data to be monitored. Moreover, the dimension and the complexity of transmission networks make the monitoring task very hard. To complicate matters still more, data can contain noise, in other words, data can be lost or generated spuriously. To cope with noise, robust tools may be considered in order to help operators in power supervision and control centers. This thesis aims to develop a tool for fault diagnosis in electrical systems, that uses a robust event correlation technique, and deploy it in CHESF's Eastern Regional Operations Center.