Optimal Installation of DG's in Distribution System Using Competitive Swarm Optimizer Considering Different Non-Linear Load Models

This paper focuses on optimizing the site and size of Distributed Generation (DG) units to reduce the active power loss in a Radial Distribution System (RDS). Subsequently, it estimates the cost of energy loss, cost of DG's and the total operating cost of the allocated devices for both the 2-DG and 3-DG scenarios in dollars per year. The optimal installation of 2DG and 3DG units is conducted in the standard 34-bus RDS, considering the impact of six distinct non-linear load models. The optimal location and sizing of DG units within the distribution systems is efficiently carried out using the Competitive Swarm Optimizer (CSO). The efficacy of the CSO algorithm is assessed through a comparative analysis with other heuristic algorithms. The findings indicate that the implementation of this approach results in substantial savings in energy loss per year, reaching 79.29% for the 2 DG allocation and 81.67% for the 3 DG allocation with industrial load, thus demonstrating the effectiveness of the CSO algorithm in addressing nonlinear optimization problems. CSO exhibits adaptability in different non-linear load models domains, making it suitable for addressing complex, dynamic, and multi-modal optimization problems.