Optimal Single and Multiple DG Installations in Radial Distribution Network Using SLPSO Algorithm

Abstract

This paper investigates optimal location and sizing of single as well as multiple distributed generation (DG) units in radial distribution network using social learning particle swarm optimization (SLPSO) algorithm. The SLPSO is basically developed from particle swarm optimization (PSO) by introducing social learning mechanism concepts into PSO. Moreover, so as to reduce the burden in parameter settings, a parameter control method based on problem dimension is adopted in SLPSO algorithm for solving lower as well as higher dimension problems efficiently. Minimization of total real power loss (P loss) is used as main objective to solve optimal DG location and sizing problem. Results show the efficiency of the proposed algorithm in minimizing total P loss. The supremacy of the proposed algorithm is also illustrated by comparing the results with other optimization approaches.