Stud Krill herd Algorithm for multiple DG placement and sizing in a radial distribution system

Abstract

In this paper a new meta-heuristic technique, Stud Krill herd Algorithm (SKHA) is employed for the solution of optimal placement and sizing of Distributed Generation (DG) in radial distribution system. The main objective is to minimize the line losses considering various constraints like voltage limit, DG real power generation limit, power balance constraint and DG location constraint. Krill movement is based on the two factors – minimum distance of the Krill individual from food and highest density of the herd and for better performance adaptive genetic operators, stud selection and crossover (SSC) are included. The proposed algorithm is implemented on 33, 69 bus IEEE test system and 94 bus Portuguese radial distribution system. The results are compared with recently developed heuristic and analytical methods from the literature. The outcomes reveal the effectiveness of the algorithm.