A Strategic Technique for Optimum Placement and Sizing of Distributed Generator in Power System Networks Employing Genetic Algorithm

Reducing power loss and meeting escalating load requirements are one of the most important goals in the distribution system. This paper discusses ways to optimize placement and sizing of distributed generators (DGs) to reduce power loss and meet increasing load requirements in the most efficient way, thereby supplying clean energy. The best size of distributed generating unit is found through a genetic algorithm inclusive of minimizing the losses in real power, and location is determined based on minimum real power loss and improving the stability index. The two goals of power loss reduction and stability are in conflict with each other. So, an optimal solution is achieved which meets both objectives. The genetic algorithm is employed to search out a group of optimal solutions satisfying those two objectives. To solve the extremely nonlinear issue of computing the total power loss under operational equality and inequality requirements, the genetic algorithm (GA) is applied. A simulation-based analysis is performed on the IEEE-14 bus system to verify the simulation results using Simulink.