Optimization of DGs’ location and capacity in practical network

Nowadays due to growth of distribution networks and increase in electricity demand, the uses of distributed generation (DG) sources are increased. Determining the installation sitting and sizing are two significant aspects affecting system loss reduction and improving network performance. This paper, three optimization algorithms are employed to find the optimum size and optimum location of distributed generator (DG)for minimization of active power loss and to improve voltage stability index of thesystem. Particle swarm optimization (PSO), genetic algorithm (GA), Differential Evolution (DE) and hybrid Genetic Algorithm (GA) / Particle Swarm Optimization (PSO) are employed to compute the optimum placement and size of DGs source. The objective function is power loss reduction, increasing voltage stability index and load balancing. The proposed method is implemented on 11 bus Hamedan radial distribution systems

Keywords:

Distributed generation (DG) , Genetic algorithm (GA) , Particle swarm optimization (PSO) , Differential Evolution (DE) , Power Losses