Total power losses in a distribution network can beminimized by installing Distributed Generator (DG) withcorrect size. In line with this objective, most of the researchershave used multiple types of optimization technique to regulatethe DG’s output to compute its optimal size. In this paper, acomparative studies of a new proposed Rank EvolutionaryParticle Swarm Optimization (REPSO) method withEvolutionary Particle Swarm Optimization (EPSO) andTraditional Particle Swarm Optimization (PSO) is conducted.Both REPSO and EPSO are using the concept of EvolutionaryProgramming (EP) in Particle Swarm Optimization (PSO)process. The implementation of EP in PSO allows the entireparticles to move toward the optimal value faster. A test ondetermining optimum size of DGs in 69 bus radial distributionsystem reveals the superiority of REPSO over PSO and EPSO.
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