Using a hybrid evolutionary method for optimal planning, and reducing loss of distribution networks

ABSTRACT: In this paper the practical planning of distribution system includes the selection of optimal conductor size and capacitor placement in radial distribution network considering increasing rate of loads. Technical operational constraints are available conductors and capacitors, voltage limit, maximum permissible carrying current of conductors and maximum reactive power could be injected. The power loss minimization problem is solved using a hybrid method of genetic algorithm (GA) and particle swarm optimization (PSO), which is called HGAPSO. By applying the proposed method, final cost of network planning, losses and their cost are considerably reduced and voltage profile of the network has improved to a semi flat shape. Simulation results are investigated on a sample radial distribution network. At last the effectiveness of proposed hybrid method is proved comparing the results with obtained results from PSO.