Um sistema de gerenciamento e controle operacional de fluxo de potência utilizando técnicas de algoritmos genéticos

Abstract

This work reports about the development of computational system based in Intelligence Artificial-IA to optimization load flow management and control of electric subtransmission system in 69 KV of Energetic Company of Alagoas – CEAL at minimum cost operational. This computational tool, through the use of evolutionary algorithms, in addressing a range of genetic algorithm of Holland, is a framework that has the ability to reuse the development of technology for the rapid and efficient determination of solutions (chromosome) feasible to the problem of balancing the tension and nodal meet the operating conditions of normal and emergency system on a permanent basis. The provision will be integrated with the CEAL VTS system on a network of workstations in the centers of operational control (COD / COS), to share the greatest number of features offered in analyzing and managing the electrical system, but also propose a set of actions to be taken in the shortest possible time.