A model for the improvement of load balancing in secondary networks

The energy distribution systems are naturally unbalanced, mainly due to unbalanced loads and different number of phases per circuit. The reconfiguration of distribution networks are usually done with a focus on reducing electrical losses and balancing loads, relieving the systems of overload conditions. The main of this work is to present a model that uses genetic algorithm to achieve the balancing in three-phase secondary distribution networks. The procedure used is based on load transfer between electrical network phases, aiming at a balance with a minimum set of actuation. Thus, the problem of balance can be characterized through a mono-objective focus, and its efficiency can be assessed through transformer balance and the consequent improvement in voltage drop along the main feeder.