Technico-economic optimization of Distributed Generation (DG) and Static Var Compensator (SVC) positioning in a real radial distribution network using the NSGA-II genetic algorithm

Network manager overuse their energy system considering the competition linked to energy sectors economic organization. That induces excessive losses and consequently the degradation of the quality of the power supply. This work consists of optimizing a distribution network of SBEE through the optimal positioning of distributed generator (PV) and SVC in a 138 node HTA departure. Optimization criteria such as losses, installation costs and voltage deviation have been considered and integrated in the NSGA-II algorithm. The algorithms have led to an optimal positioning of a PV system with 1.03MW of power at node 69 and two SVCs of respective powers of 2.07 MVar at node 58 and 2.05 MVar at node 82 of the network. The optimal cost obtained from the simulation is 2,729,000(USD). The NSGA-II algorithm is then a very robust optimization tool, efficient and can be used to optimize electrical grid.