This paper introduces a Probabilistic Optimal Power Flow (POPF) methodology to

minimize power losses in Direct Current (DC) Microgrids. Load uncertainties are modeled using

the Normal Distribution, while the Unscented Transform is utilized for resolving the proposed

methodology. Evaluating a 10-bus DC microgrid demonstrates the precision and computational

efficiency of the proposed POPF method, especially when compared to outcomes obtained

through Monte Carlo Simulation, because it presented computational time in some cases almost

300 times faster.