An Optimal Droop Control Method of DC Micro-grid with Local Loads

Abstract

Abstract An optimal droop control optimization method is proposed of the DC microgrid. First, a modeling of the DC micro-grid is made based on the idea of model equivalence. And then, the traditional particle swarm optimization (PSO) is improved by introducing adaptive learning factors and inertial weights. Finally, based on the improved PSO algorithm, the droop parameters are optimized to optimize the system performance. The simulation results show that even under the dual effects of line impedance and local load, the system can still achieve a high accuracy of current sharing and has a significant suppression effect on the bus voltage deviation.