A combination of genetic algorithm and particle swarm optimization for optimal

DG location and sizing in distribution systems



Distributed generation (DG) sources are becoming more prominent in distribution systems due to the

incremental demands for electrical energy. Locations and capacities of DG sources have profoundly

impacted on the system losses in a distribution network. In this paper, a novel combined genetic algorithm

(GA)/particle swarm optimization (PSO) is presented for optimal location and sizing of DG on distribution

systems. The objective is to minimize network power losses, better voltage regulation and

improve the voltage stability within the frame-work of system operation and security constraints in

radial distribution systems. A detailed performance analysis is carried out on 33 and 69 bus systems

to demonstrate the effectiveness of the proposed methodology.