Genetic Optimization-based Overcurrent Relay Coordination in a Feeder with High Distributed Generation Integration

Currently, it is evident a great increase in the integration of distributed generation in the electric power system. However, despite the several benefits caused by distributed generation, this integration causes many modifications in the electrical system parameters, such as the charging and the fault current. Thus, the power system protection may not operate as desired, reducing the reliability and safety. Therefore, this paper analyzes the influence of the distributed generation insertion, based on the addition of the photovoltaic system in the IEEE 13-Node Test Feeder, by using Genetic Algorithms to coordinate directional overcurrent relays in this feeder. From the results, it was possible to notice a considerable modification in the load and fault current, besides that, the developed Genetic Algorithm was able to reduce the objective function effectively respecting the established constraints. So the relays presented in the IEEE 13-Node test feeder with high integration of distributed generation were optimally coordinated.