Optimal siting and sizing of distributed generation in radial distribution system using artificial hummingbird algorithm

Abstract

In the present article, a bio-inspired optimization method is used for finding the optimal rating and site of distributed generation (DG) in radial distribution systems (RDS). This problem accompanies reducing active power loss, reactive power loss, and total voltage deviation, which leads to save more energy of RDS. In the context of finding the optimal rating and site of the DG, the load flow approach is used and applied to 33 & 69 test bus systems. A comparative case study has been done between particle swarm optimization (PSO), grey wolf optimizer (GWO) and artificial hummingbird algorithm (AHA). Different case studies have been carried out to solve this multi-objective function while considering the equality and inequality constraints.