Impact of Optimal Allocation of Renewable Distributed Generation in Radial Distribution Systems Based on Different Optimization Algorithms

This paper aims to propose Satin Bowerbird Optimization (SBO) Algorithm and Ant Lion optimizer (ALO) Algorithm for optimal sitting and sizing of renewable distributed generations (RDGs) (such as Photovoltaic (PV) and wind turbine (WT)) in radial distribution networks (RDN) to reducing the system power loss and consequently maximizing the net saving. The proposed methods are implemented on 33-bus and 118-bus IEEE standard radial distribution test systems. To ensure the validation of the proposed approaches, the simulation results obtained are compared by the proposed methods with each other and with the other existing technology.