Alocação otimizada de dispositivos de controle e proteção através de algoritmos genéticos multiobjetivos

Abstract

The rising demand on worldwide electricity consumption estabilishes the supply and maintenance of this resource as basic needs. However, the own nature of this energy makes its conversion and conduction susceptible to defects that are impossible to completely avoid using current time technologies. The alternative is to develop techniques that succeed in mitigating the damage from such failures, starting from the strategic positioning of control and protection devices along the conductors of the system. This allocation of the devices can become hard due to the multiple variables involved in the problem, which suggests the necessity of an alternative that computes the high number of data and helps in this process. In this work it’s presented a solution developed using the multiobjective genetic algorithm search technique, especially the Non-dominated Sorting Genetic Algorithm, NSGA-II, that uses two objectives to evaluate the possible allocations: the initial investment and the prediction of economic return based on the concepts of non-supplied energy. The obtained results reveals information about the nature of the approached problem and the tool utilized, utilizing a real feeder as base to the simulations, giving a practical bias to the routine. From the analyses of the answers given, it’s possible to discuss about the importance of each device of control and protection in its acting, from both technical and economic points of view. The contribution from these conclusions allows refining the understanding about the studied area and opens the path to futures studies and tools.