Improved Droop Control Parameters In A DC Microgrid Using The Marine Predator Algorithm

Different droop response characteristics in DC microgrid systems are impacted by inconsistent circuit parameters and line impedances. As a result, each converter's current division accuracy declines. DC voltage variation will result from the control response. For DC microgrids with many parallel sources, it's important to have defined controls in place to ensure system effectiveness and avoid overload. The Marine Predator Algorithm is used in this study to demonstrate droop control. This program mimics the behavior of marine predators. Particle swarm optimization is used to evaluate the performance of the suggested strategy by comparing the transient response. The load sharing case is used in this study's testing. Simulation testing is carried out using Matlab software. The MPA approach is known to have the best capability based on the simulation findings. When compared to the PSO approach, the MPA method is able to lower the voltage overshoot by 2.38%.