Optimal Placement Allocation of DGs in Northwest Anatolia Power System by Using a Multi-Objective Genetic Algorithm

The voltage profile and power losses of traditional network are influenced by the location, power and the number of Distributed Generation (DG) resources. To prevent the network from being adversely affected by DG resources, the integration of DG resources into the grid is done using various optimization methods. In this study, the allocation of DG resources in the Northwest Anatolian (NWA) power system with 114 buses, was discussed by using one of the most common optimization methods, the Genetic Algorithm (GA). For this purpose, minimizing active power losses, enhancement of voltage profile and maximization of voltage stability index were used as objective functions. 4 different cases were created and DG resources were integrated according to these cases. The power system was examined in terms of active power losses, index values and voltage profile. In two of these cases, load increase was made in the power system to evaluate the possible load increases that may occur during the operation. The simulation results verified the effectiveness of the recommended approach; the active power losses decreased, the voltage profile enhanced and the voltage stability index increased within the specified range. It has been observed that the proposed approach reduces losses in the power system by between 27.84% and 33.63% for different conditions.