The combination of environmental concerns, power consumption, and the penetration of renewables in the distribution system is attracting a lot of attention. A distribution system must have renewable sources scaled and positioned properly. While effective placement and size of renewable sources can minimize energy losses and voltage deviation, improper allocation and sizing results in higher network losses and poor voltage profile. The problem of placement and size is nonconvex and nonlinear. This study proposes the use of the particle swarm optimization (PSO) method for multi-objective constrained optimization in order to optimally design and distribute solar panels based on distributed generation in distribution systems. Additionally, this work takes into account many DG situations and includes temporal variant generation and load. The voltage variation and losses are greatly reduced, according to the results

Renewable, Distribution Generation (DG), Mult objective optimization,