Abstrakt

Review: An Analysis of Different Population based Optimization Techniques used for Optimum Allocation and Sizing of Distributed Generations in Distributed Network

Debirupa Hore, Dutta Chowdhury

This Paper presents a review on the discussion of different types of population based Artificial intelligence optimization techniques used in the distributed generations in Distributed Networks. With the growing popularity of the Distributed Generations in the recent world it is required to determine the optimal location and size of the Distributed generations along with the reduction of the loss, improvement of Voltage Profile and reliability at lowest cost. For this different types of optimization techniques are used such as Firefly Algorithm, Genetic Algorithm, BFO, PSO, Artificial Bee Colony, Clonal Selection Algorithm, Ant Colony Optimization etc. This population based optimization techniques are more flexible and fast optimization methods.