Performance Analysis of Jaya, PSO, and RAO Algorithm for Optimal Allocation of Distributed Generation using IEEE-14 and IEEE-30 Bus System in Power System Networks

Abstract

This paper investigates the optimal positioning and dimensioning of Distributed Generation (DG) systems to enhance the performance, reliability, and cost-efficiency of electricity distribution grids. Proper placement of DG units can considerably reduce active power losses and improve the voltage profile, which is crucial for ensuring the secure functioning of the power network. This is vital for grid operators who need to balance consumers' quantitative and qualitative energy demands while maintaining system stability. In this study, three optimization techniques, JAYA, Particle Swarm Optimization (PSO), and Random Aggregated Optimization (RAO), are employed to determine DG's optimal locations and sizes. The optimization is performed on the IEEE-14 bus and IEEE-30 bus systems, aiming to assess their effects on reducing power losses and improving overall system performance using type-1 DG. The algorithms are implemented using MATLAB Toolbox in conjunction with Mat-Power 7.0 for power flow analysis and optimization.