Optimal Sizing and Placement of Distributed Generation with Short-Circuit Analysis Using a Combined Technique Based on Modified PSO and ETAP

The installation of distributed generation (DG) and the short circuit (SC) analysis have a considerable impact on radial distribution electrical networks. DG affects electrical systems such as voltage profiles, line losses, and short circuit levels. To ensure reliability and efficiency in the radial distribution systems, it is essential to design and install the distributed generators in the optimal location. This paper aims to investigate the impact of integrating the distributed generation units into the electrical distribution network. The modified PSO algorithm (MPSO) is implemented in MATLAB to optimize the placement and capacities of DG units. The effectiveness of the method was assessed by comparing it to other algorithms, such as the genetic method (GA), fireworks Algorithm (FWA), and modified plant growth algorithm (MPGSA). The optimal places and sizing of DG units were identified, the electrical distribution IEEE 33-bus system was modeled, and the DG units were incorporated using the ETAP software.