POWERING THE FUTURE: ANALYZING OPTIMAL ALLOCATION FOR MINIMAL POWER LOSS WITH CONSIDERATIONS FOR DG NUMBER AND POWER FACTOR

Abstract

The integration of Distributed Generators (DG) into Radial Distribution Systems (RDS) has emerged as a promising solution for minimizing power losses and enhancing the voltage profile in power systems. This paper investigates the effect of varying the number and power factor of DG on its optimal allocation in RDS. The Grey Wolf Optimization (GWO) algorithm is used to propose an alternative optimization approach for the optimal allocation of DG in RDS. The Direct Load Flow method is utilized to analyze the power flow in the system. The study compares the appropriate DG allocation in IEEE 33 and 69 bus RDS under different DG parameters, including types of DG, problem statements, objective functions, constraints, load flow analysis, and simulation results. The results demonstrate that the optimal placement and sizing of DG can significantly reduce power losses and improve the voltage profile in RDS. The paper concludes that the use of renewable sources of energy like DG can enhance the performance of the radial system, but improper allocation can lead to adverse effects.