Optimal Allocation of DGs in Radial Distribution Network for Power Loss Minimization based on LSF and GJO Algorithm

Abstract

Power distribution systems require special planning and control to reap the benefits of lower capital expenditure, lower system power losses, improved power factor, improved feeder voltage profile, and increased feeder capacity. The purpose of this paper is to describe a novel method for locating and sizing distributed generation (DG) units. The goal is to reduce total line losses in the radial distribution network (RDN). The loss sensitivity factor (LSF) is used to identify the weak and sensitive buses for DG unit installation. The Golden Jackal Optimization (GJO) algorithm is used to determine the optimal locations and capacities of the DG units. GJO is a powerful optimization algorithm inspired by golden jackals' cooperative attacking behavior to effectively tackle the complex optimization problem. The proposed method has been tested on an RDN with 33 buses. The simulation results demonstrate the proposed method's applicability and effectiveness.