Review on optimal distributed generation placement using particle swarm optimization algorithms

Distributed Generations (DGs) play an important role in distribution networks. Distributed Generation resources have a lot of concentration in recent times due to its optimistic impact on power system. Studies show that nonoptimal locations and non-optimal sizes of DG units may lead to losses increase, together with bad effect on voltage profile and harmonics. Particle Swarm Optimization (PSO) has became one of the most popular optimization methods in the domain of Swarm Intelligence. Many PSO algorithms have been proposed for distributed generations (DGs) deployed into grids for power delivery and reliability to consumers. The installation of DG at optimum location boosts the performance of distribution system as well as presents a cost effective solution thus giving a new dimension to distribution system planning. This made DG planning problem solution to be of two steps namely, finding the optimal placement bus in the distribution system as well as optimal sizing of the DG. This paper reviews some of the PSO and hybrids of PSO Algorithms formulated for DG placement being one of the meta-heuristic optimization methods that fits stochastic optimization problems. The review has shown that PSO Algorithms are very efficient in handling the DG placement and sizing problems.