Sistema inteligente para tomada rápida de decisões nos sistemas elétricos

Abstract

This thesis presents a methodology, based on techniques of artificial intelligence, especially of specialist and united systems approximate, to aid in the process of electric outlet of decision. The central idea was to develop a group of rules that you/they can aid the operators during the analysis of occurrences and in the system recompose of the net of ELETRONORTE. For this, it was developed a methodology that uses besides an own knowledge base, the integration with the systems INFO_OPR, SAP/R3 and SAGE, already available in the concessionary. It was also become pregnant and implemented a system extractor of knowledge of great bases of data that works together with a specialist system. This hierarchical intelligent system works routines external computations of support, as well as bases of existent data in the company. To reach this I aim at the work it was divided in stages: • Integration of systems of operation information and maintenance, where she looked for to centralize and to optimize the necessary historical information to the formation of the base of data. • Extraction and storage of the existent knowledge of the integrated base, through an algorithm based on the Theory of the Approximate Groups. • Monitoring of the new events through the execution in time-Real of the rules of the knowledge bank. • Analysis of the new events under the focus of the rules of the knowledge bank. • Consolidation of the results through the structuring and the calculation of the indicators of acting of ELETRONORTE. These acting indicators are governed by the manuals and rules of consolidation avaliable by the National Operator of Systems - ONS. • This system is in operation in ELETRONORTE.