The loss of power and variation of voltage are major bottleneck problems in the distribution system. The factors of loss decline with the efficiency of network configuration, including the addition of a distributed generation (DG) segment in the distributed network. However, the optimal placement and sizing of DGs play an important role in the efficient distribution of power. This paper employed optimization algorithms for the optimal placement of DGs in a network system. All employed algorithms are multi-objective and control the positioning of DGs in distributed networks. The employed algorithms are particle swarm optimization, genetic algorithms, and firefly algorithms. An active distribution network's optimal network configuration with DG coordination reduces power losses, elevates voltage profiles, and boosts system efficiency. A penalty factor that is taken into account when considering real-world power system scenarios is essential for minimising overall power loss and enhancing voltage profiles. With the addition of DG units to the test system, the simulation results demonstrated a significant improvement in the percentage power loss reduction (31% and 66.05% before and after reconfiguration, respectively). Similar improvements are made to the system's minimum bus voltage, which is 3.9% and 5.53% before and after reconfiguration, respectively. The results of the comparative study demonstrated that the suggested approach is effective at lowering the voltage deviation and power loss of the distribution system. the optimization algorithms tested on the IEEE-33 bus and the IEEE-69 bus systems.

Distributed Generation, Voltage Deviation, Power Loss Minimization, Particle Swarm Optimization; Genetic Algorithm, Firefly Algorithm, Network Reconfiguration, Voltage Stability Enhancement