Optimal Allocation and Sizing of Solar Panels Generation via Particle Swarm Optimization Algorithm

With increasing electricity demand and environmental concerns, renewable penetration in distribution system attracts remarkable attention. Renewable sources are needed to be optimally placed and sized in distribution system. Improper allocation and sizing causes increased network losses and poor voltage profile while optimal placement and sizing of renewable sources can reduce energy losses and voltage deviation. Placement and sizing is a nonlinear and nonconvex problem. This paper presents multiobjective constrained optimization using particle swarm optimization (PSO) algorithm to optimally allocate and size solar panels based DG in distribution system. Furthermore, time variant generation and load are included while more than one DG cases are also considered in this paper. Results show a great reduction in losses and voltage deviation.