UM SISTEMA ESPECIALISTA DE SUPORTE A DECISÃO PARA DESLIGAMENTOS EM SUBESTAÇÕES DE ENERGIA

Abstract

Faced with regulatory goals of quality continuity of electric power supply granted by ANEEL to electricity distributors, their fulfillment depends mainly on minimizing both time to return the system failover, and the number of failures caused by human error. In view of the apparent lack of qualified people in the electricity sector, intelligent systems, such as expert systems, which will assist the operation and supervision of electrical systems, have a promising future. This work proposes the project and the implementation of an expert system, where the knowledge base is structured from the modeling of the studied electrical system failure modes, formatted through failure tree analysis technique. The proposed architecture for this expert system is composed from the following modules: central unit, referred as Main Module, User's Interface, Events Manager and Statistic Manager; Work-based online reading Tags of the relays in the protection system of the substation under study, compared to the fault tree specific to that substation, providing the root cause of failure occurred in a deterministic or statistical to operator of the system. Such information is crucial for the human expert to take the right decision and restore the electrical system in the shortest time possible.