Economic Dispatch of DC Microgrids Under Real-Time Pricing Using Adaptive Differential Evolution Algorithm

This paper presents an adaptive Differential Evolution (ADE) algorithm to minimize the operating cost of DC microgrids via the optimization of the virtual resistances of the droop control for grid-connected converters. The total operating cost of DC microgrids include the running cost of utility grids, renewable energy sources (RES), energy storage systems (ESS), fuel cells, and the power losses on the distribution lines. The performances of the proposed strategy are evaluated in simulation on the case studies of a 12-bus 380 V DC microgrid using Matlab. The results validate that the ADE can significantly reduce the total operating cost of the DC microgrid and that it outperforms the Genetic Algorithm (GA) in terms of cost saving.