Optimal Distributed Generation Placement and Economic Analysis for Enhancing the Active Radial Distribution System using BPSO

Abstract

Dispersed generation (DG) are known to improve the reliability of electrical grids. However, to maximize their benefits, it’s essential to ensure that DG units are optimally sized and positioned. Poor placement can have adverse effects on power grids, causing voltage profile degradation and an increase in power loss. Various methods have been recommended to determine the best size and location for DG units. This article focuses on establishing a technique for optimal scheduling and operation of DG units to reduce power-loss, improve voltage contour, and enhance network reliability. The Binary particle swarm optimization (BPSO) artificial intelligence method is implemented to find the optimal node and DG size. The applicability of BPSO is demonstrated using the IEEE 33 distribution system with Typ-1 DG, with results compared with other methods. The evidence clearly demonstrates that BPSO reigns supreme over all other methods.