We face the power losses minimization problem on a real smart grid.
A genetic algorithm performs the joint PFC and DFR optimization.
Some admissible network configurations violate constraints on currents and voltages.
Such violations depend only on topological properties of the network configurations.
Removing these configurations from search space leads to performances improvements.